Digital Content Management _ Blog Topic Classification.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"authorship_tag":"ABX9TyOhj3WfQ+3IdmVYx7uQXBcy"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"markdown","metadata":{"id":"O6FxwwDc3m_O"},"source":["# *NOTE* : Sample of dataset used due to huge size of original dataset resulting in memory error.\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"xfSQwKqd4CfD"},"outputs":[],"source":["import numpy as np\n","import pandas as pd\n","import re\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","\n","import logging\n","\n","import nltk\n","from nltk.corpus import stopwords\n","from nltk import word_tokenize\n","\n","import gc"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":22144,"status":"ok","timestamp":1671986269893,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"XudieX8tA8Vc","outputId":"cd66ba7b-7c0d-4286-851c-62d2120928b6"},"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/grive\n"]}],"source":["from google.colab import drive\n","drive.mount('/content/grive')"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":17,"status":"ok","timestamp":1671986269894,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"tszv5HGFmvBj","outputId":"ceb7b025-ca42-4903-9f62-63d7b5eb991b"},"outputs":[{"output_type":"stream","name":"stdout","text":["/content\n"]}],"source":["!pwd"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":11,"status":"ok","timestamp":1671986269894,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"eAFwu2ePmVAm","outputId":"973d09f6-f143-44fc-f079-dfa0f8ea5ed1"},"outputs":[{"output_type":"stream","name":"stdout","text":["/content/grive/MyDrive/Colab Notebooks/NLP Data\n"]}],"source":["cd /content/grive/MyDrive/Colab Notebooks/NLP Data/"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"6Su6sOIUNURE","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1671986285767,"user_tz":-330,"elapsed":15878,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"}},"outputId":"0bd52343-d6db-48f2-84a1-6a61c8a331a2"},"outputs":[{"output_type":"stream","name":"stdout","text":["        id gender  age              topic      sign          date  \\\n","0  2059027   male   15            Student       Leo   14,May,2004   \n","1  2059027   male   15            Student       Leo   13,May,2004   \n","2  2059027   male   15            Student       Leo   12,May,2004   \n","3  2059027   male   15            Student       Leo   12,May,2004   \n","4  3581210   male   33  InvestmentBanking  Aquarius  11,June,2004   \n","\n","                                                text  \n","0             Info has been found (+/- 100 pages,...  \n","1             These are the team members:   Drewe...  \n","2             In het kader van kernfusie op aarde...  \n","3                   testing!!!  testing!!!            \n","4               Thanks to Yahoo!'s Toolbar I can ...  \n","\n","\n","------------------------------------------------------------\n","\n","\n","<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 681284 entries, 0 to 681283\n","Data columns (total 7 columns):\n"," #   Column  Non-Null Count   Dtype \n","---  ------  --------------   ----- \n"," 0   id      681284 non-null  int64 \n"," 1   gender  681284 non-null  object\n"," 2   age     681284 non-null  int64 \n"," 3   topic   681284 non-null  object\n"," 4   sign    681284 non-null  object\n"," 5   date    681284 non-null  object\n"," 6   text    681284 non-null  object\n","dtypes: int64(2), object(5)\n","memory usage: 36.4+ MB\n"]}],"source":["# Reading in the data\n","\n","df = pd.read_csv('/content/grive/MyDrive/Colab Notebooks/NLP Data/blogs/blogtext.csv')\n","\n","# Analysing Data\n","\n","print(df.head())\n","print('\\n')\n","print('-'*60)\n","print('\\n')\n","df.info()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"lEquRbwcsyaK","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1671986285768,"user_tz":-330,"elapsed":52,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"}},"outputId":"a2636235-1665-4841-d121-8535538b295a"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["(681284, 7)"]},"metadata":{},"execution_count":6}],"source":["df.shape"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"Qwlh-VeJGGQq","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1671986285769,"user_tz":-330,"elapsed":43,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"}},"outputId":"ade0cad9-8bd4-497e-c12b-3d89f7ab3e28"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["['id', 'gender', 'age', 'topic', 'sign', 'date', 'text']"]},"metadata":{},"execution_count":7}],"source":["list(df.columns)\n","#df.columns"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"XmLGfJrLjTpR","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1671986285770,"user_tz":-330,"elapsed":36,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"}},"outputId":"82bd055e-913b-43cc-a02d-76c54b9a2f0f"},"outputs":[{"output_type":"stream","name":"stdout","text":["indUnk                     251015\n","Student                    153903\n","Technology                  42055\n","Arts                        32449\n","Education                   29633\n","Communications-Media        20140\n","Internet                    16006\n","Non-Profit                  14700\n","Engineering                 11653\n","Law                          9040\n","Publishing                   7753\n","Science                      7269\n","Government                   6907\n","Consulting                   5862\n","Religion                     5235\n","Fashion                      4851\n","Marketing                    4769\n","Advertising                  4676\n","BusinessServices             4500\n","Banking                      4049\n","Chemicals                    3928\n","Telecommunications           3891\n","Accounting                   3832\n","Military                     3128\n","Museums-Libraries            3096\n","Sports-Recreation            3038\n","HumanResources               3010\n","RealEstate                   2870\n","Transportation               2326\n","Manufacturing                2272\n","Biotech                      2234\n","Tourism                      1942\n","LawEnforcement-Security      1878\n","Architecture                 1638\n","InvestmentBanking            1292\n","Automotive                   1244\n","Agriculture                  1235\n","Construction                 1093\n","Environment                   592\n","Maritime                      280\n","Name: topic, dtype: int64\n","\n","\n","------------------------------------------------------------\n","\n","\n","Total number of unique topics :  40\n"]}],"source":["print(df.topic.value_counts())\n","print('\\n')\n","print('-'*60)\n","print('\\n')\n","print(\"Total number of unique topics : \", df.topic.unique().size)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"MAwTWCfsdoo6","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1671986285771,"user_tz":-330,"elapsed":28,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"}},"outputId":"7f0e00dd-4d05-463f-cf84-54a06947e463"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["id        0\n","gender    0\n","age       0\n","topic     0\n","sign      0\n","date      0\n","text      0\n","dtype: int64"]},"metadata":{},"execution_count":9}],"source":["# Checking for null values\n","\n","df.isna().sum()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"huBhjZHJLJfc"},"outputs":[],"source":["# Drop columns with no significance here\n","\n","df = df.drop(['id','gender','age','sign','date'], axis = 1)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"3O__P_t-DkI6"},"outputs":[],"source":["#df.describe(include = [np.number]).T\n","#df.describe(include = [object]).T"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"y3LwAxFsELLE"},"outputs":[],"source":["# Changing 'topic' column data type\n","\n","catagorical_coloumn = [\"topic\"]\n","\n","df[catagorical_coloumn] = df[catagorical_coloumn].astype(\"category\")"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"CERgw4V5ERTk","colab":{"base_uri":"https://localhost:8080/","height":206},"executionInfo":{"status":"ok","timestamp":1671986286366,"user_tz":-330,"elapsed":610,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"}},"outputId":"8a5da3e4-1aae-4526-9c21-b422aa0935d3"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["               topic                                               text\n","0            Student             Info has been found (+/- 100 pages,...\n","1            Student             These are the team members:   Drewe...\n","2            Student             In het kader van kernfusie op aarde...\n","3            Student                   testing!!!  testing!!!          \n","4  InvestmentBanking               Thanks to Yahoo!'s Toolbar I can ..."],"text/html":["\n","  <div id=\"df-8d7d7501-f47f-4f91-8660-d593d91045a9\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>topic</th>\n","      <th>text</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Student</td>\n","      <td>Info has been found (+/- 100 pages,...</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Student</td>\n","      <td>These are the team members:   Drewe...</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>Student</td>\n","      <td>In het kader van kernfusie op aarde...</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>Student</td>\n","      <td>testing!!!  testing!!!</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>InvestmentBanking</td>\n","      <td>Thanks to Yahoo!'s Toolbar I can ...</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-8d7d7501-f47f-4f91-8660-d593d91045a9')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 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Columns to be dropped as they dont hold significance in our current classification - id, gender, age, sign, date"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"56dtrPqQhtcM","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1671986291953,"user_tz":-330,"elapsed":5593,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"}},"outputId":"0a9b7b04-9434-4209-8e7e-c267cf3e3536"},"outputs":[{"output_type":"stream","name":"stdout","text":["Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Collecting langdetect\n","  Downloading langdetect-1.0.9.tar.gz (981 kB)\n","\u001b[K     |████████████████████████████████| 981 kB 5.1 MB/s \n","\u001b[?25hRequirement already satisfied: six in /usr/local/lib/python3.8/dist-packages (from langdetect) (1.15.0)\n","Building wheels for collected packages: langdetect\n","  Building wheel for langdetect (setup.py) ... \u001b[?25l\u001b[?25hdone\n","  Created wheel for langdetect: filename=langdetect-1.0.9-py3-none-any.whl size=993242 sha256=b429e48f126f71165a9c7e95f776c04c006821ef8bb8ff780f309d5155ed3263\n","  Stored in directory: /root/.cache/pip/wheels/13/c7/b0/79f66658626032e78fc1a83103690ef6797d551cb22e56e734\n","Successfully built langdetect\n","Installing collected packages: langdetect\n","Successfully installed langdetect-1.0.9\n"]}],"source":["!pip install langdetect"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"3x_G09vwhY7W"},"outputs":[],"source":["# Using langdetect to detect language for each review\n","\n","from langdetect import detect\n","\n","def detect_english(text):\n","  try:\n","    return detect(text) == 'en'\n","  except:\n","    return False"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"MpCHK1UenTGQ","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1671992017439,"user_tz":-330,"elapsed":5725490,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"}},"outputId":"f399b6a0-ee26-41c2-bcca-b6b754dfab93"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["True     651448\n","False     29836\n","dtype: int64"]},"metadata":{},"execution_count":16}],"source":["df_english = []\n","for i in df.index:\n","  df_english.append(detect_english(df['text'].iloc[i]))\n","\n","# Count of values with df_english array\n","\n","pd.Series(df_english).value_counts()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"9fjECRfWPN8t","colab":{"base_uri":"https://localhost:8080/","height":206},"executionInfo":{"status":"ok","timestamp":1671992017440,"user_tz":-330,"elapsed":11,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"}},"outputId":"3c7d67c4-8d42-43b2-fc5e-d15286560277"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["               topic                                               text  \\\n","0            Student             Info has been found (+/- 100 pages,...   \n","1            Student             These are the team members:   Drewe...   \n","2            Student             In het kader van kernfusie op aarde...   \n","3            Student                   testing!!!  testing!!!             \n","4  InvestmentBanking               Thanks to Yahoo!'s Toolbar I can ...   \n","\n","   df_english  \n","0        True  \n","1       False  \n","2        True  \n","3        True  \n","4        True  "],"text/html":["\n","  <div id=\"df-917d7e0e-d75d-4093-87cb-87db5cb4d6e0\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>topic</th>\n","      <th>text</th>\n","      <th>df_english</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Student</td>\n","      <td>Info has been found (+/- 100 pages,...</td>\n","      <td>True</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Student</td>\n","      <td>These are the team members:   Drewe...</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>Student</td>\n","      <td>In het kader van kernfusie op aarde...</td>\n","      <td>True</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>Student</td>\n","      <td>testing!!!  testing!!!</td>\n","      <td>True</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>InvestmentBanking</td>\n","      <td>Thanks to Yahoo!'s Toolbar I can ...</td>\n","      <td>True</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-917d7e0e-d75d-4093-87cb-87db5cb4d6e0')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-917d7e0e-d75d-4093-87cb-87db5cb4d6e0 button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 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Vijayan","userId":"13047080691629339396"}},"outputId":"8b3e7f0b-39b7-4a5c-b968-825d7e319fc5"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["(651448, 2)"]},"metadata":{},"execution_count":18}],"source":["# Filtering the reviews detected as english by langdetect\n","\n","df_english = pd.DataFrame()\n","df_english = df.loc[df['df_english'] == True]\n","\n","df_english = df_english.drop(['df_english'], axis = 1)\n","df_english.shape"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"1dp_xxZMw0k-","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1671992017812,"user_tz":-330,"elapsed":21,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"}},"outputId":"e67b19bd-66e0-444f-ef79-fa62a1818247"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["topic    category\n","text       object\n","dtype: object"]},"metadata":{},"execution_count":19}],"source":["df_english.dtypes"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"sfXKWqZ8tCVi"},"outputs":[],"source":["log = logging.getLogger(__name__)\n","log.addHandler(logging.NullHandler())"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"dyoeFatXhWXa"},"outputs":[],"source":["# Text data pre-processing and cleanup\n","\n","def remove_special_characters(df):\n","  log.info(\"Removing special characters from dataframe\")\n","  no_special_characters = df.replace(r'[^A-Za-z0-9]+',' ', regex=True)\n","  return no_special_characters\n","\n","def remove_numbers(df):\n","  log.info(\"Removing numbers from dataframe\")\n","  df = pd.Series(df.values.flatten())\n","  removed_numbers = df.str.replace(r'\\d+',' ')\n","  return removed_numbers"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"ba_ZTZ0Em8O2"},"outputs":[],"source":["df_english.to_csv('df_text_file.csv', index = False) # encoding = 'utf-8-sig'\n","# files.download('df_text_file.csv')\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"LvIpjyjRpr4a"},"outputs":[],"source":["df_english = pd.read_csv('/content/grive/MyDrive/Colab Notebooks/NLP Data/df_text_file.csv')"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":59076,"status":"ok","timestamp":1671992127784,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"M4HVVRY9_xmF","outputId":"3238bb54-647b-4627-aa05-0cd6d0079021"},"outputs":[{"output_type":"stream","name":"stderr","text":["<ipython-input-21-605dd92ec6ff>:9: FutureWarning: The default value of regex will change from True to False in a future version.\n","  removed_numbers = df.str.replace(r'\\d+',' ')\n"]}],"source":["df_english['text']= remove_special_characters(df_english['text'])\n","df_english['text'] = remove_numbers(df_english['text'])"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":38,"status":"ok","timestamp":1671992127785,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"tpkkGGVPn05L","outputId":"eb8fe78f-bf6f-4fdb-85d2-3af64c81eefd"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["10423296"]},"metadata":{},"execution_count":25}],"source":["df_english.memory_usage().sum()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":424},"executionInfo":{"elapsed":33,"status":"ok","timestamp":1671992127786,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"onaDnUjmoNnQ","outputId":"a9a24e23-4a50-41b4-8908-75c8b7dfec18"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["                       topic  \\\n","569823            Non-Profit   \n","101782                indUnk   \n","594388                indUnk   \n","352254               Student   \n","413318               Banking   \n","...                      ...   \n","77897                   Arts   \n","183455  Communications-Media   \n","56013                 indUnk   \n","556036  Communications-Media   \n","260288             Education   \n","\n","                                                     text  \n","569823   Random Quote bad News For Tai The Bigger They...  \n","101782   Yeay nbsp Anyway what in the hell is the S D ...  \n","594388   MAYDAY MAYDAY MAYDAY Those are pearls that we...  \n","352254   Too many people associate tarot with fortune ...  \n","413318   As I ve mentioned before I work in a call cen...  \n","...                                                   ...  \n","77897    I have had a lazy lazy day Boy and Girl have ...  \n","183455   PM to hockey clean up your act In what I thou...  \n","56013    Leighton and Young created an imaginary Korea...  \n","556036   urlLink Yahoo News  D Church Opened to Woo In...  \n","260288   nbsp According to the thrilling editorial in ...  \n","\n","[100 rows x 2 columns]"],"text/html":["\n","  <div id=\"df-d492de1c-3f49-4cd8-91d4-f6d28d3de9fb\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>topic</th>\n","      <th>text</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>569823</th>\n","      <td>Non-Profit</td>\n","      <td>Random Quote bad News For Tai The Bigger They...</td>\n","    </tr>\n","    <tr>\n","      <th>101782</th>\n","      <td>indUnk</td>\n","      <td>Yeay nbsp Anyway what in the hell is the S D ...</td>\n","    </tr>\n","    <tr>\n","      <th>594388</th>\n","      <td>indUnk</td>\n","      <td>MAYDAY MAYDAY MAYDAY Those are pearls that we...</td>\n","    </tr>\n","    <tr>\n","      <th>352254</th>\n","      <td>Student</td>\n","      <td>Too many people associate tarot with fortune ...</td>\n","    </tr>\n","    <tr>\n","      <th>413318</th>\n","      <td>Banking</td>\n","      <td>As I ve mentioned before I work in a call cen...</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>77897</th>\n","      <td>Arts</td>\n","      <td>I have had a lazy lazy day Boy and Girl have ...</td>\n","    </tr>\n","    <tr>\n","      <th>183455</th>\n","      <td>Communications-Media</td>\n","      <td>PM to hockey clean up your act In what I thou...</td>\n","    </tr>\n","    <tr>\n","      <th>56013</th>\n","      <td>indUnk</td>\n","      <td>Leighton and Young created an imaginary Korea...</td>\n","    </tr>\n","    <tr>\n","      <th>556036</th>\n","      <td>Communications-Media</td>\n","      <td>urlLink Yahoo News  D Church Opened to Woo In...</td>\n","    </tr>\n","    <tr>\n","      <th>260288</th>\n","      <td>Education</td>\n","      <td>nbsp According to the thrilling editorial in ...</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>100 rows × 2 columns</p>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d492de1c-3f49-4cd8-91d4-f6d28d3de9fb')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 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=.10)\n","df_english_1.head(100)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":30,"status":"ok","timestamp":1671992127786,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"4ZZjO_Kxab6r","outputId":"567a9cbd-4be2-48a0-88d9-8c890b152fd4"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["1563480"]},"metadata":{},"execution_count":27}],"source":["df_english_1.memory_usage().sum()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":28,"status":"ok","timestamp":1671992127788,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"VMw4ofFUz3sY","outputId":"69830409-4440-4aaf-fcba-0c1dfe5a86f7"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["(65145, 2)"]},"metadata":{},"execution_count":28}],"source":["df_english_1.shape"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":24,"status":"ok","timestamp":1671992127789,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"2Bek76mr5lcM","outputId":"574c8e9e-ca46-4092-aa93-4bc1993f264d"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["topic    0\n","text     0\n","dtype: int64"]},"metadata":{},"execution_count":29}],"source":["# Checking for null values\n","\n","df_english_1.isna().sum()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"vY5ZZLAtA6k0"},"outputs":[],"source":["# Text pre-processing\n","\n","def lowercase(df):\n","  #df.astype('str')\n","  logging.info(\"Converting dataframe to lowercase\")\n","  lowercase_df = df.apply(lambda x: x.lower())\n","  return lowercase_df"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"executionInfo":{"elapsed":20,"status":"ok","timestamp":1671992127790,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"uwGOxZslDJ56","outputId":"4626f031-d358-49d4-861d-c22b5911b767"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["             topic                                               text\n","569823  Non-Profit   random quote bad news for tai the bigger they...\n","101782      indUnk   yeay nbsp anyway what in the hell is the s d ...\n","594388      indUnk   mayday mayday mayday those are pearls that we...\n","352254     Student   too many people associate tarot with fortune ...\n","413318     Banking   as i ve mentioned before i work in a call cen..."],"text/html":["\n","  <div id=\"df-0c61bb29-1bf0-48a8-ba18-24bee783a334\">\n","    <div class=\"colab-df-container\">\n","      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<td>Student</td>\n","      <td>too many people associate tarot with fortune ...</td>\n","    </tr>\n","    <tr>\n","      <th>413318</th>\n","      <td>Banking</td>\n","      <td>as i ve mentioned before i work in a call cen...</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-0c61bb29-1bf0-48a8-ba18-24bee783a334')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 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Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"-845sn_pqY9Q","outputId":"b1904809-790f-4ac4-ed16-8a2a7b136d3d"},"outputs":[{"output_type":"stream","name":"stderr","text":["[nltk_data] Downloading package stopwords to /root/nltk_data...\n","[nltk_data]   Unzipping corpora/stopwords.zip.\n"]},{"output_type":"execute_result","data":{"text/plain":["True"]},"metadata":{},"execution_count":32}],"source":[".nltk.download('stopwords')"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"executionInfo":{"elapsed":2705,"status":"ok","timestamp":1671992131256,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"8CNUP9gNS9aF","outputId":"87588ee8-1f75-4fb3-a777-375d0f0219be"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["             topic                                               text\n","569823  Non-Profit  random quote bad news tai bigger farther fall ...\n","101782      indUnk  yeay nbsp anyway hell nbsp come erik nbsp bugg...\n","594388      indUnk  mayday mayday mayday pearls eyes nothing doth ...\n","352254     Student  many people associate tarot fortune telling si...\n","413318     Banking  mentioned work call center bank take escalated..."],"text/html":["\n","  <div id=\"df-0c2e3377-69fa-4775-b865-ad4552973dac\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>topic</th>\n","      <th>text</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>569823</th>\n","      <td>Non-Profit</td>\n","      <td>random quote bad news tai bigger farther fall ...</td>\n","    </tr>\n","    <tr>\n","      <th>101782</th>\n","      <td>indUnk</td>\n","      <td>yeay nbsp anyway hell nbsp come erik nbsp bugg...</td>\n","    </tr>\n","    <tr>\n","      <th>594388</th>\n","      <td>indUnk</td>\n","      <td>mayday mayday mayday pearls eyes nothing doth ...</td>\n","    </tr>\n","    <tr>\n","      <th>352254</th>\n","      <td>Student</td>\n","      <td>many people associate tarot fortune telling si...</td>\n","    </tr>\n","    <tr>\n","      <th>413318</th>\n","      <td>Banking</td>\n","      <td>mentioned work call center bank take escalated...</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-0c2e3377-69fa-4775-b865-ad4552973dac')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg 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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":33}],"source":["# Remove stop words from reviews\n","\n","stops = set(stopwords.words('english'))\n","\n","df_english_1['text'] = df_english_1['text'].apply(lambda x: ' '.join([word for word in x.split() if word not in (stops)]))\n","df_english_1.head()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"1tzz76R9QCku"},"outputs":[],"source":["def remove_whitespace(df):\n","  log.info(\"Removing extra whitespace from dataframe\")\n","  # replace more than 1 space with 1 space\n","  merged_spaces = pd.Series(df).str.replace(r\"\\s\\s+\",' ')\n","  # delete beginning and trailing spaces\n","  trimmed_spaces = pd.DataFrame(merged_spaces).apply(lambda x: x.strip() if isinstance(x, str) else x)\n","  return trimmed_spaces"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":687,"status":"ok","timestamp":1671992131928,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"vO434FO9GPRj","outputId":"02bc160a-e2ec-42ea-f7e8-d386a4a96b04"},"outputs":[{"output_type":"stream","name":"stderr","text":["<ipython-input-34-10cabc4b9871>:4: FutureWarning: The default value of regex will change from True to False in a future version.\n","  merged_spaces = pd.Series(df).str.replace(r\"\\s\\s+\",' ')\n"]}],"source":["df_english_1['text'] = remove_whitespace(df_english_1['text'])"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":29,"status":"ok","timestamp":1671992131933,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"2vA6A7B1t3TZ","outputId":"75b52cf3-d0be-47aa-c1cc-cc3f5ec8fd1b"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["pandas.core.series.Series"]},"metadata":{},"execution_count":36}],"source":["type(df_english_1['text'])"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"executionInfo":{"elapsed":24,"status":"ok","timestamp":1671992131934,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"1onFM82H_AfI","outputId":"e8fdecb8-1b71-4e3f-d031-b9d08280a6c9"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["             topic                                               text\n","569823  Non-Profit  random quote bad news tai bigger farther fall ...\n","101782      indUnk  yeay nbsp anyway hell nbsp come erik nbsp bugg...\n","594388      indUnk  mayday mayday mayday pearls eyes nothing doth ...\n","352254     Student  many people associate tarot fortune telling si...\n","413318     Banking  mentioned work call center bank take escalated..."],"text/html":["\n","  <div id=\"df-16770ba0-369b-4b89-bebe-1b46fff9d035\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>topic</th>\n","      <th>text</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>569823</th>\n","      <td>Non-Profit</td>\n","      <td>random quote bad news tai bigger farther fall ...</td>\n","    </tr>\n","    <tr>\n","      <th>101782</th>\n","      <td>indUnk</td>\n","      <td>yeay nbsp anyway hell nbsp come erik nbsp bugg...</td>\n","    </tr>\n","    <tr>\n","      <th>594388</th>\n","      <td>indUnk</td>\n","      <td>mayday mayday mayday pearls eyes nothing doth ...</td>\n","    </tr>\n","    <tr>\n","      <th>352254</th>\n","      <td>Student</td>\n","      <td>many people associate tarot fortune telling si...</td>\n","    </tr>\n","    <tr>\n","      <th>413318</th>\n","      <td>Banking</td>\n","      <td>mentioned work call center bank take escalated...</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-16770ba0-369b-4b89-bebe-1b46fff9d035')\"\n","         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buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 'block' : 'none';\n","\n","        async function convertToInteractive(key) {\n","          const element = document.querySelector('#df-16770ba0-369b-4b89-bebe-1b46fff9d035');\n","          const dataTable =\n","            await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                     [key], {});\n","          if (!dataTable) return;\n","\n","          const docLinkHtml = 'Like what you see? 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= pd.read_csv('/content/grive/MyDrive/Colab Notebooks/NLP Data/df_english_file.csv')"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":24,"status":"ok","timestamp":1671992135032,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"jDzI5s0pd104","outputId":"3cc1412b-f6d0-4b52-efe4-4e24f153cc73"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["topic     0\n","text     17\n","dtype: int64"]},"metadata":{},"execution_count":40}],"source":["# Checking for any new null values\n","\n","df_english_1.isna().sum()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":22,"status":"ok","timestamp":1671992135032,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"JYgK9nepeBKe","outputId":"57bea3f7-0b7f-4a15-fd60-7def5fdfddc0"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["topic    0\n","text     0\n","dtype: int64"]},"metadata":{},"execution_count":41}],"source":["# Dropping The Null Values\n","\n","df_english_1 = df_english_1.dropna()\n","df_english_1.isna().sum()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"c4xArWcSO-m7"},"outputs":[],"source":["# Independent & Target variable creation\n","\n","from sklearn.model_selection import train_test_split\n","\n","X = df_english_1.text\n","y = df_english_1.topic"]},{"cell_type":"code","source":["# Target variable values\n","\n","y.value_counts()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"839EU7CJGw-0","executionInfo":{"status":"ok","timestamp":1671992135033,"user_tz":-330,"elapsed":16,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"}},"outputId":"abe0db58-8c17-4071-c97b-55b59b0eadb0"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["indUnk                     24057\n","Student                    14860\n","Technology                  3968\n","Arts                        3153\n","Education                   2852\n","Communications-Media        1920\n","Internet                    1526\n","Non-Profit                  1329\n","Engineering                 1048\n","Law                          861\n","Publishing                   740\n","Science                      706\n","Government                   671\n","Consulting                   579\n","Marketing                    502\n","Religion                     472\n","Advertising                  440\n","Fashion                      416\n","BusinessServices             395\n","Chemicals                    388\n","Banking                      388\n","Accounting                   368\n","Telecommunications           354\n","HumanResources               313\n","Sports-Recreation            299\n","Military                     293\n","Museums-Libraries            278\n","RealEstate                   245\n","Biotech                      231\n","Manufacturing                218\n","Transportation               205\n","Tourism                      196\n","LawEnforcement-Security      179\n","Architecture                 146\n","Automotive                   122\n","InvestmentBanking            118\n","Agriculture                  116\n","Construction                 110\n","Environment                   45\n","Maritime                      21\n","Name: topic, dtype: int64"]},"metadata":{},"execution_count":43}]},{"cell_type":"markdown","source":["Inference From y value counts\n","--------------------------\n","\n","y is multiclass with high data imbalance"],"metadata":{"id":"t02rAmySMrI9"}},{"cell_type":"markdown","metadata":{"id":"By-4tBxJtARe"},"source":["# **Label Encoding the y Variable**"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"1z9fH3SBstzD"},"outputs":[],"source":["# Import label encoder\n","from sklearn import preprocessing\n","  \n","# label_encoder object knows how to understand word labels.\n","label_encoder = preprocessing.LabelEncoder()\n","  \n","# Encode labels in categorical columns\n","y_encoded = label_encoder.fit_transform(y)"]},{"cell_type":"code","source":["#y_encoded = pd.get_dummies(y)"],"metadata":{"id":"rV3mGqFO1fEY"},"execution_count":null,"outputs":[]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":11,"status":"ok","timestamp":1671992135034,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"x7qBYRz_X230","outputId":"fd0fb851-b726-4088-a15a-db1098410b73"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["(pandas.core.series.Series, (65128,), numpy.ndarray, (65128,))"]},"metadata":{},"execution_count":46}],"source":["type(X), X.shape, type(y_encoded), y_encoded.shape"]},{"cell_type":"markdown","metadata":{"id":"muRnyU-mrJFO"},"source":["# **Performing the Train & Test Split**"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"DsKr3N-7s5bC"},"outputs":[],"source":["X_train, X_test, y_train, y_test =train_test_split(X, y_encoded, random_state=42,\n","                                                   test_size = 0.1,\n","                                                  shuffle = True)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":23,"status":"ok","timestamp":1671992135591,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"BaO4qDBpv64D","outputId":"32774f02-148a-46ae-f684-e9758158dbe8"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["(pandas.core.series.Series, numpy.ndarray)"]},"metadata":{},"execution_count":48}],"source":["type(X_train), type(y_train)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":18,"status":"ok","timestamp":1671992135591,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"CZpJb0RDbabe","outputId":"f30b6c37-ea75-4fec-edd6-2a5b76231aed"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([34,  6, 39, ..., 17,  6, 10])"]},"metadata":{},"execution_count":49}],"source":["y_train"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":13,"status":"ok","timestamp":1671992135592,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"C915eJJ5oH4L","outputId":"a006514e-804f-4a35-a2a2-edeb17ad73f9"},"outputs":[{"output_type":"stream","name":"stdout","text":["shape of training set : (58615,)\n","shape of test set : (6513,)\n"]}],"source":["print(\"shape of training set :\", X_train.shape)\n","print(\"shape of test set :\", X_test.shape)"]},{"cell_type":"markdown","metadata":{"id":"G4wMNbTatRTo"},"source":["# **Feature Extraction Using TFIDF Vectorization (VECTORIZER 1)**"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":13700,"status":"ok","timestamp":1671992149286,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"wxWNmJMCoVMi","outputId":"5c299b0f-661c-4adc-9b2d-29e79dd80bbc"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["(<58615x153610 sparse matrix of type '<class 'numpy.float64'>'\n"," \twith 4607809 stored elements in Compressed Sparse Row format>,\n"," <6513x153610 sparse matrix of type '<class 'numpy.float64'>'\n"," \twith 512201 stored elements in Compressed Sparse Row format>)"]},"metadata":{},"execution_count":51}],"source":["from sklearn.feature_extraction.text import TfidfVectorizer\n","\n","X_train_copy = X_train\n","y_train_copy = y_train\n","\n","X_test_copy = X_test\n","y_test_copy = y_test\n","\n","stops = set(stopwords.words('english'))\n","# tfidf = TfidfVectorizer(stop_words=stop_words, tokenizer=tokenize, vocabulary=vocabulary)\n","\n","vectorizer = TfidfVectorizer(stop_words = stops)\n","vectorizer.fit(X_train_copy)\n","\n","X_train_copy = vectorizer.transform(X_train_copy)\n","X_test_copy = vectorizer.transform(X_test_copy)\n","X_train_copy, X_test_copy"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":27,"status":"ok","timestamp":1671992149287,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"wcTcUbFuY9vh","outputId":"3d7f162d-b0de-4d3a-88d4-ad2839d116a8"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["<58615x153610 sparse matrix of type '<class 'numpy.float64'>'\n","\twith 4607809 stored elements in Compressed Sparse Row format>"]},"metadata":{},"execution_count":52}],"source":["X_train_copy"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":23,"status":"ok","timestamp":1671992149288,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"Txgs2ZRkqdCm","outputId":"c55cc940-1f03-468a-e4eb-41ca0855a8a1"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["((58615, 153610), scipy.sparse.csr.csr_matrix)"]},"metadata":{},"execution_count":53}],"source":["X_train_copy.shape, type(X_train_copy)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"ZY9ZSl_zgISX"},"outputs":[],"source":["# MultinomialNB Model creation, fitting on Train data and performance analysis\n","\n","from sklearn.metrics import classification_report\n","\n","def performance_metrics(y_test,y_predict):\n","  print(classification_report(y_test,y_predict))"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":15,"status":"ok","timestamp":1671992149288,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"zCU9gMrGbwAc","outputId":"d7b830bb-77e9-47f2-fee3-b9ea53776698"},"outputs":[{"output_type":"stream","name":"stdout","text":["Multinomial Naive Bayes Model Accuracy :  0.3809304467987103\n","\n","\n","              precision    recall  f1-score   support\n","\n","           0       0.00      0.00      0.00        28\n","           1       0.00      0.00      0.00        59\n","           2       0.00      0.00      0.00         8\n","           3       0.00      0.00      0.00        11\n","           4       0.00      0.00      0.00       304\n","           5       0.00      0.00      0.00         9\n","           6       0.00      0.00      0.00        32\n","           7       0.00      0.00      0.00        24\n","           8       0.00      0.00      0.00        38\n","           9       0.00      0.00      0.00        43\n","          10       0.00      0.00      0.00       185\n","          11       0.00      0.00      0.00         8\n","          12       0.00      0.00      0.00        64\n","          13       0.00      0.00      0.00       283\n","          14       0.00      0.00      0.00       101\n","          15       0.00      0.00      0.00         3\n","          16       0.00      0.00      0.00        46\n","          17       0.00      0.00      0.00        55\n","          18       0.00      0.00      0.00        29\n","          19       0.00      0.00      0.00       153\n","          20       0.00      0.00      0.00        11\n","          21       0.00      0.00      0.00        78\n","          22       0.00      0.00      0.00        19\n","          23       0.00      0.00      0.00        18\n","          24       0.00      0.00      0.00         2\n","          25       0.00      0.00      0.00        49\n","          26       0.00      0.00      0.00        34\n","          27       0.00      0.00      0.00        21\n","          28       0.00      0.00      0.00       156\n","          29       0.00      0.00      0.00        77\n","          30       0.00      0.00      0.00        22\n","          31       0.00      0.00      0.00        51\n","          32       0.00      0.00      0.00        78\n","          33       0.00      0.00      0.00        32\n","          34       0.68      0.06      0.11      1503\n","          35       0.00      0.00      0.00       376\n","          36       0.00      0.00      0.00        46\n","          37       0.00      0.00      0.00        15\n","          38       0.00      0.00      0.00        27\n","          39       0.37      0.99      0.54      2415\n","\n","    accuracy                           0.38      6513\n","   macro avg       0.03      0.03      0.02      6513\n","weighted avg       0.30      0.38      0.23      6513\n","\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/metrics/_classification.py:1318: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n","  _warn_prf(average, modifier, msg_start, len(result))\n","/usr/local/lib/python3.8/dist-packages/sklearn/metrics/_classification.py:1318: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n","  _warn_prf(average, modifier, msg_start, len(result))\n","/usr/local/lib/python3.8/dist-packages/sklearn/metrics/_classification.py:1318: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n","  _warn_prf(average, modifier, msg_start, len(result))\n"]}],"source":["from sklearn.naive_bayes import MultinomialNB\n","from sklearn.metrics import accuracy_score\n","\n","model_mnb = MultinomialNB()\n","\n","model_mnb.fit(X_train_copy, y_train_copy)\n","y_predict_copy = model_mnb.predict(X_test_copy)\n","\n","print('Multinomial Naive Bayes Model Accuracy : ',accuracy_score(y_test_copy, y_predict_copy))\n","print('\\n')\n","\n","performance_metrics(y_test_copy, y_predict_copy)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3679,"status":"ok","timestamp":1671992152958,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"Qvlf3XN3BZK8","outputId":"1f2b9d6c-6ddd-4d3f-9931-da87bb95452d"},"outputs":[{"output_type":"stream","name":"stdout","text":["Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Requirement already satisfied: gensim in /usr/local/lib/python3.8/dist-packages (3.6.0)\n","Requirement already satisfied: smart-open>=1.2.1 in /usr/local/lib/python3.8/dist-packages (from gensim) (6.3.0)\n","Requirement already satisfied: numpy>=1.11.3 in /usr/local/lib/python3.8/dist-packages (from gensim) (1.21.6)\n","Requirement already satisfied: scipy>=0.18.1 in /usr/local/lib/python3.8/dist-packages (from gensim) (1.7.3)\n","Requirement already satisfied: six>=1.5.0 in /usr/local/lib/python3.8/dist-packages (from gensim) (1.15.0)\n"]}],"source":["!pip install gensim"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"5sihbqKiBYOl"},"outputs":[],"source":["import gensim\n","from gensim.models import Word2Vec\n","\n","X_train_arr = X_train.to_numpy()\n","X_test_arr = X_test.to_numpy()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":11,"status":"ok","timestamp":1671992153484,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"I7Uu_IUaecbi","outputId":"0a20805b-a807-4b84-f77c-091f8ff5b9ba"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["(numpy.ndarray, (58615,))"]},"metadata":{},"execution_count":58}],"source":["type(X_train_arr), X_train_arr.shape"]},{"cell_type":"markdown","metadata":{"id":"ecUxrWMbTSuc"},"source":["# **Skip gram Vectorization Of Train Data Using Gensim Word2Vec (VECTORIZER 2)**"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":234981,"status":"ok","timestamp":1671992388458,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"7YRKLLc0eFgl","outputId":"abf1e3a7-2fc0-43d5-cb02-f7ba623ab714"},"outputs":[{"output_type":"stream","name":"stderr","text":["WARNING:gensim.models.base_any2vec:consider setting layer size to a multiple of 4 for greater performance\n","WARNING:gensim.models.word2vec:Each 'sentences' item should be a list of words (usually unicode strings). First item here is instead plain <class 'str'>.\n","/usr/local/lib/python3.8/dist-packages/numpy/core/fromnumeric.py:3440: RuntimeWarning: Mean of empty slice.\n","  return _methods._mean(a, axis=axis, dtype=dtype,\n"]}],"source":["Word2Vec_model_Xtrained_skipgram = Word2Vec(X_train_arr, size = 150, workers = 4, sg = 1)\n","X_train_wv_skipgram = X_train.apply(lambda text: np.mean([Word2Vec_model_Xtrained_skipgram.wv[word] for word in text.split() if word in Word2Vec_model_Xtrained_skipgram.wv]))"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":30,"status":"ok","timestamp":1671992388459,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"Mw75CiIHcvKu","outputId":"5f14aa2a-434e-48bd-cf12-5f474ec5a7d6"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["(pandas.core.series.Series, (58615,))"]},"metadata":{},"execution_count":60}],"source":["type(X_train_wv_skipgram), X_train_wv_skipgram.shape"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":26,"status":"ok","timestamp":1671992388460,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"y3a6l0V5Dqk4","outputId":"1d899b92-1001-489b-93d5-feebadabeecf"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["(numpy.ndarray, (58615,))"]},"metadata":{},"execution_count":61}],"source":["type(y_train), y_train.shape"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":24,"status":"ok","timestamp":1671992388461,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"jVeM4QbicoF5","outputId":"a98643c5-cbb2-4285-e2eb-ee0c94261f8c"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["780"]},"metadata":{},"execution_count":62}],"source":["np.unique(y_train).sum()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"executionInfo":{"elapsed":20,"status":"ok","timestamp":1671992388461,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"8_zB88XieXlC","outputId":"c1adc936-f1b0-4b66-ce13-0402a38fabec"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["      text   0\n","0 -0.00546  34\n","1      NaN   6\n","2      NaN  39\n","3      NaN  39\n","4      NaN  39"],"text/html":["\n","  <div id=\"df-255c7773-5296-4774-bbaf-70ed4239dd8a\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type 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First item here is instead plain <class 'str'>.\n","/usr/local/lib/python3.8/dist-packages/numpy/core/fromnumeric.py:3440: RuntimeWarning: Mean of empty slice.\n","  return _methods._mean(a, axis=axis, dtype=dtype,\n"]}],"source":["Word2Vec_model_Xtest_skipgram = Word2Vec(X_test_arr, size = 150, workers = 4, sg = 1)\n","X_test_wv_skipgram = X_test.apply(lambda text: np.mean([Word2Vec_model_Xtest_skipgram.wv[word] for word in text.split() if word in Word2Vec_model_Xtest_skipgram.wv]))"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":241},"executionInfo":{"elapsed":16,"status":"ok","timestamp":1671992414688,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"dKNjS-IVtMif","outputId":"3ebaeebc-2bdb-40b6-ec77-bc1e33e5bc46"},"outputs":[{"output_type":"stream","name":"stdout","text":["<class 'pandas.core.series.Series'>\n","------------------------------------------------------------\n"]},{"output_type":"execute_result","data":{"text/plain":["       text   0\n","0       NaN  10\n","1  0.000698  34\n","2       NaN  39\n","3 -0.000776  39\n","4       NaN  39"],"text/html":["\n","  <div id=\"df-0c6371d9-54cb-4299-b89b-9d63030309da\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>text</th>\n","      <th>0</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>NaN</td>\n","      <td>10</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>0.000698</td>\n","      <td>34</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>NaN</td>\n","      <td>39</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>-0.000776</td>\n","      <td>39</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>NaN</td>\n","      <td>39</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-0c6371d9-54cb-4299-b89b-9d63030309da')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-0c6371d9-54cb-4299-b89b-9d63030309da button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":67}],"source":["print(type(X_test_wv_skipgram))\n","print('-'*60)\n","y_test = pd.Series(y_test)\n","#type(y_train)\n","test_skipgram_data = pd.concat([X_test_wv_skipgram.reset_index(drop=True), y_test.reset_index(drop=True)], axis=1)\n","test_skipgram_data.head()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":13,"status":"ok","timestamp":1671992414689,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"iYPDTVi3EGPz","outputId":"9d651e7c-d047-447f-f8ff-343801982a9c"},"outputs":[{"output_type":"stream","name":"stdout","text":["Null Values Post Skip Gram Vectorization in Test data: text    4890\n","0          0\n","dtype: int64\n","------------------------------------------------------------\n","Shape of Vectorized Test Set Post removing Null Values :  (1623, 2)\n"]}],"source":["print('Null Values Post Skip Gram Vectorization in Test data:', test_skipgram_data.isna().sum())\n","\n","test_skipgram_data = test_skipgram_data.dropna()\n","print('-'*60)\n","print('Shape of Vectorized Test Set Post removing Null Values : ',test_skipgram_data.shape)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":11,"status":"ok","timestamp":1671992414689,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"lCWopaZltwFl","outputId":"337802c9-c3b4-4e6d-83a4-2c7cd691e0ce"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["(838, 2)"]},"metadata":{},"execution_count":69}],"source":["test_skipgram_data = test_skipgram_data.drop_duplicates()\n","test_skipgram_data.shape"]},{"cell_type":"markdown","metadata":{"id":"xOw-syRMUnS7"},"source":["# Saving the Skip Gram Vectorised Train and Test Data and Models"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"t0RdsJ44A7nH"},"outputs":[],"source":["train_skipgram_data.to_csv('train_skipgram_data.csv', index = False, encoding = 'utf-8-sig', chunksize=5000)\n","test_skipgram_data.to_csv('test_skipgram_data.csv', index = False, encoding = 'utf-8-sig', chunksize=5000)\n","\n","Word2Vec_model_Xtrained_skipgram.save('/content/grive/MyDrive/Colab Notebooks/NLP Data/Word2Vec_model_Xtrain_skipgram_file.model')\n","Word2Vec_model_Xtest_skipgram. save('/content/grive/MyDrive/Colab Notebooks/NLP Data/Word2Vec_model_Xtest_skipgram_file.model')\n","\n","train_skipgram_data = pd.read_csv('/content/grive/MyDrive/Colab Notebooks/NLP Data/train_skipgram_data.csv')\n","test_skipgram_data = pd.read_csv('/content/grive/MyDrive/Colab Notebooks/NLP Data/test_skipgram_data.csv')\n","\n"]},{"cell_type":"markdown","metadata":{"id":"mfS9IUSwS4nl"},"source":["# **CBOW Vectorization Of Train and Test Data Using Gensim Word2Vec**"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":103840,"status":"ok","timestamp":1671992519197,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"jqit7JfZA52s","outputId":"f1a01928-7082-4c52-d59a-4411096fc849"},"outputs":[{"output_type":"stream","name":"stderr","text":["WARNING:gensim.models.base_any2vec:consider setting layer size to a multiple of 4 for greater performance\n","WARNING:gensim.models.word2vec:Each 'sentences' item should be a list of words (usually unicode strings). First item here is instead plain <class 'str'>.\n","/usr/local/lib/python3.8/dist-packages/numpy/core/fromnumeric.py:3440: RuntimeWarning: Mean of empty slice.\n","  return _methods._mean(a, axis=axis, dtype=dtype,\n","WARNING:gensim.models.base_any2vec:consider setting layer size to a multiple of 4 for greater performance\n","WARNING:gensim.models.word2vec:Each 'sentences' item should be a list of words (usually unicode strings). First item here is instead plain <class 'str'>.\n"]}],"source":["Word2Vec_model_Xtest_cbow = Word2Vec(X_test_arr, size = 150, workers = 4, sg = 0)\n","X_test_wv_cbow = X_test.apply(lambda text: np.mean([Word2Vec_model_Xtest_cbow.wv[word] for word in text.split() if word in Word2Vec_model_Xtest_cbow.wv]))\n","\n","Word2Vec_model_Xtrain_cbow = Word2Vec(X_train_arr, size = 150, workers = 4, sg = 0)\n","X_train_wv_cbow = X_train.apply(lambda text: np.mean([Word2Vec_model_Xtrain_cbow.wv[word] for word in text.split() if word in Word2Vec_model_Xtrain_cbow.wv]))"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":241},"executionInfo":{"elapsed":44,"status":"ok","timestamp":1671992519198,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"H2nQQFbbL9yf","outputId":"4d174618-d946-4e39-e2f0-a2b156d14206"},"outputs":[{"output_type":"stream","name":"stdout","text":["<class 'pandas.core.series.Series'>\n","------------------------------------------------------------\n"]},{"output_type":"execute_result","data":{"text/plain":["       text   0\n","0 -0.015387  34\n","1       NaN   6\n","2       NaN  39\n","3       NaN  39\n","4       NaN  39"],"text/html":["\n","  <div id=\"df-c5a3bc46-a3a5-4aa8-96cb-49178e0ecb9a\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>text</th>\n","      <th>0</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>-0.015387</td>\n","      <td>34</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>NaN</td>\n","      <td>6</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>NaN</td>\n","      <td>39</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>NaN</td>\n","      <td>39</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>NaN</td>\n","      <td>39</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c5a3bc46-a3a5-4aa8-96cb-49178e0ecb9a')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-c5a3bc46-a3a5-4aa8-96cb-49178e0ecb9a button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":72}],"source":["print(type(X_train_wv_cbow))\n","print('-'*60)\n","#y_test = pd.Series(y_test)\n","#type(y_train)\n","train_cbow_data = pd.concat([X_train_wv_cbow.reset_index(drop=True), y_train.reset_index(drop=True)], axis=1)\n","train_cbow_data.head()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":241},"executionInfo":{"elapsed":35,"status":"ok","timestamp":1671992519199,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"RV9vBiz0MBBT","outputId":"9abd5943-cb0e-42af-bf2b-0e2b8f8ada05"},"outputs":[{"output_type":"stream","name":"stdout","text":["<class 'pandas.core.series.Series'>\n","------------------------------------------------------------\n"]},{"output_type":"execute_result","data":{"text/plain":["       text   0\n","0       NaN  10\n","1  0.005809  34\n","2       NaN  39\n","3  0.004355  39\n","4       NaN  39"],"text/html":["\n","  <div id=\"df-b8030342-09f5-47a3-a8d7-cc773c50bb4e\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>text</th>\n","      <th>0</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>NaN</td>\n","      <td>10</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>0.005809</td>\n","      <td>34</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>NaN</td>\n","      <td>39</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>0.004355</td>\n","      <td>39</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>NaN</td>\n","      <td>39</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-b8030342-09f5-47a3-a8d7-cc773c50bb4e')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-b8030342-09f5-47a3-a8d7-cc773c50bb4e button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":73}],"source":["print(type(X_test_wv_cbow))\n","print('-'*60)\n","#y_train = pd.Series(y_train)\n","#type(y_train)\n","test_cbow_data = pd.concat([X_test_wv_cbow.reset_index(drop=True), y_test.reset_index(drop=True)], axis=1)\n","test_cbow_data.head()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":26,"status":"ok","timestamp":1671992519199,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"7W-PoVSeVtaL","outputId":"348a26cf-b1d4-4b1f-b795-7af693944376"},"outputs":[{"output_type":"stream","name":"stdout","text":["Null Values Post Continuous Bag Of Words Vectorization in Train data: text    43992\n","0           0\n","dtype: int64\n","Shape of Vectorized Train Data post removal of null values (14623, 2)\n"]}],"source":["print('Null Values Post Continuous Bag Of Words Vectorization in Train data:', train_cbow_data.isna().sum())\n","train_cbow_data = train_cbow_data.dropna()\n","print('Shape of Vectorized Train Data post removal of null values', train_cbow_data.shape)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":24,"status":"ok","timestamp":1671992519200,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"OuMeS23-VKrz","outputId":"ccf6dcb8-a2a4-46fe-eadd-16a99421d4cf"},"outputs":[{"output_type":"stream","name":"stdout","text":["Null Values Post Continuous Bag Of Words Vectorization in Test data: text    4890\n","0          0\n","dtype: int64\n","Shape of Vectorized Test Data post removal of null values (1623, 2)\n"]}],"source":["print('Null Values Post Continuous Bag Of Words Vectorization in Test data:', test_cbow_data.isna().sum())\n","test_cbow_data = test_cbow_data.dropna()\n","print('Shape of Vectorized Test Data post removal of null values', test_cbow_data.shape)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":21,"status":"ok","timestamp":1671992519200,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"bDfs92BYEFVI","outputId":"fbc94558-5f7f-462c-a9c6-67fee7a9ce41"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["(4973, 2)"]},"metadata":{},"execution_count":76}],"source":["train_cbow_data = train_cbow_data.drop_duplicates()\n","train_cbow_data.shape"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":18,"status":"ok","timestamp":1671992519200,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"rGLM6xDVEIwA","outputId":"c4ae0641-526e-47c5-f8bd-f0555a1b2ff0"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["(829, 2)"]},"metadata":{},"execution_count":77}],"source":["test_cbow_data = test_cbow_data.drop_duplicates()\n","test_cbow_data.shape"]},{"cell_type":"markdown","metadata":{"id":"NtPYfUYEtzsf"},"source":["# Saving the CBOW Vectorised Train and Test Data and Models"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"sIpPq3MoWFek"},"outputs":[],"source":["train_cbow_data.to_csv('train_cbow_data_file.csv', index = False, encoding = 'utf-8-sig', chunksize=5000)\n","test_cbow_data.to_csv('test_cbow_data_file.csv', index = False, encoding = 'utf-8-sig', chunksize=5000)\n","\n","Word2Vec_model_Xtrain_cbow.save('/content/grive/MyDrive/Colab Notebooks/NLP Data/Word2Vec_model_Xtrain_cbow_file.model')\n","Word2Vec_model_Xtest_cbow.save('/content/grive/MyDrive/Colab Notebooks/NLP Data/Word2Vec_model_Xtest_cbow_file.model')\n","\n","train_cbow_data = pd.read_csv('/content/grive/MyDrive/Colab Notebooks/NLP Data/train_cbow_data_file.csv')\n","test_cbow_data = pd.read_csv('/content/grive/MyDrive/Colab Notebooks/NLP Data/test_cbow_data_file.csv')\n","\n"]},{"cell_type":"markdown","metadata":{"id":"u0gdjlf28nas"},"source":["# **Text Classification of Skipgram Vectorized Dataset Using Machine Learning Models**"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":32,"status":"ok","timestamp":1671992519584,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"6xcs0V4YFyQ5","outputId":"6f655674-7f4c-43f1-a4e1-dc2db157f5e6"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["((838,), (838,))"]},"metadata":{},"execution_count":79}],"source":["X_test_wv_skipgram = test_skipgram_data.text\n","y_test = test_skipgram_data.iloc[:,1]\n","X_test_wv_skipgram.shape, y_test.shape"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":28,"status":"ok","timestamp":1671992519585,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"yOgJkmSJF0Z-","outputId":"c9b2b627-9702-460c-ff76-4c2a7b89cfbb"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["((5042,), (5042,))"]},"metadata":{},"execution_count":80}],"source":["X_train_wv_skipgram = train_skipgram_data.text\n","y_train = train_skipgram_data.iloc[:,1]\n","X_train_wv_skipgram.shape, y_train.shape"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":24,"status":"ok","timestamp":1671992519587,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"8NEpB1jTGzyK","outputId":"14b7abd2-3b92-41bf-dcac-16d96e883623"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["(pandas.core.series.Series, pandas.core.series.Series)"]},"metadata":{},"execution_count":81}],"source":["type(X_train_wv_skipgram), type(y_train)"]},{"cell_type":"markdown","metadata":{"id":"u9n6ixFC155j"},"source":["# Converting the Train and Test Datasets to Dataframes"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":19,"status":"ok","timestamp":1671992519587,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"qpry7_wNJCua","outputId":"b07de822-3040-4c31-b8d4-58fb41d30e21"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["((5042, 1), (5042, 1))"]},"metadata":{},"execution_count":82}],"source":["X_train_wv_skipgram = pd.DataFrame(X_train_wv_skipgram)\n","y_train = pd.DataFrame(y_train)\n","X_train_wv_skipgram.shape, y_train.shape"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":13,"status":"ok","timestamp":1671992519588,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"kZ-g62PZHZyl","outputId":"1c32dccc-de98-4131-c475-f473a66cd18c"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["((838, 1), (838, 1))"]},"metadata":{},"execution_count":83}],"source":["X_test_wv_skipgram = pd.DataFrame(X_test_wv_skipgram)\n","y_test = pd.DataFrame(y_test)\n","X_test_wv_skipgram.shape, y_test.shape"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4486,"status":"ok","timestamp":1671992524066,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"KZjP7HefdEQr","outputId":"b824ecfa-503b-44e5-9fc8-188b409a6bbd"},"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["Accuracy of Logistic Regression Base Model on Test Data without Hyperparameter Tuning =  0.2386634844868735\n","------------------------------------------------------------\n","Accuracy of KNN Base Model on Test Data without Hyperparameter Tuning =  0.18973747016706444\n","------------------------------------------------------------\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/neighbors/_classification.py:198: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n","  return self._fit(X, y)\n","/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["Accuracy of SVC Base Model on Test Data without Hyperparameter Tuning = 0.2386634844868735\n"]}],"source":["from sklearn.linear_model import LogisticRegression\n","from sklearn import svm\n","from sklearn.svm import SVC\n","from sklearn.neighbors import KNeighborsClassifier\n","\n","# Fit the model on train\n","model_base = LogisticRegression()\n","model_base.fit(X_train_wv_skipgram, y_train)\n","#predict on test\n","Y_predict = model_base.predict(X_test_wv_skipgram)\n","print(\"Accuracy of Logistic Regression Base Model on Test Data without Hyperparameter Tuning = \", model_base.score(X_test_wv_skipgram, y_test))\n","\n","print('-'*60)\n","\n","NNH_base = KNeighborsClassifier()\n","NNH_base.fit(X_train_wv_skipgram, y_train)\n","Y_predict = NNH_base.predict(X_test_wv_skipgram)\n","print(\"Accuracy of KNN Base Model on Test Data without Hyperparameter Tuning = \", NNH_base.score(X_test_wv_skipgram, y_test))\n","\n","print('-'*60)\n","\n","svc_base = SVC()\n","svc_base.fit(X_train_wv_skipgram, y_train)\n","Y_predict = svc_base.predict(X_test_wv_skipgram)\n","print(\"Accuracy of SVC Base Model on Test Data without Hyperparameter Tuning =\", svc_base.score(X_test_wv_skipgram, y_test))"]},{"cell_type":"code","source":[],"metadata":{"id":"n-y4Dh1u9haM"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"A5tBi0G55Pmu"},"source":["# **ML Models Hyperparameter Tuning for Skipgram Vectorized Dataset**"]},{"cell_type":"markdown","metadata":{"id":"Vq-ELw9k5ANG"},"source":["# Hyperparameter Tuning For KNN Model"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":71293,"status":"ok","timestamp":1671992595352,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"B1CWNrs0fKch","outputId":"4ff0c47c-e0f7-45fa-b8a6-9180c163e2a7"},"outputs":[{"output_type":"stream","name":"stdout","text":["Fitting 3 folds for each of 594 candidates, totalling 1782 fits\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/neighbors/_classification.py:198: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n","  return self._fit(X, y)\n"]}],"source":["# Hyperparameter Tuning for KNN Model for Skipgram Vectorized Model\n","\n","from sklearn.model_selection import GridSearchCV\n","\n","neighbors = range(1,100)\n","grid_params = { 'n_neighbors' : neighbors,\n","               'weights' : ['uniform','distance'],\n","               'metric' : ['minkowski','euclidean','manhattan']}\n","\n","gs = GridSearchCV(KNeighborsClassifier(), grid_params, verbose = 1, cv=3, n_jobs = -1)\n","\n","# fit the Grid Search model for KNN model on our train set\n","g_res = gs.fit(X_train_wv_skipgram, y_train)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":23,"status":"ok","timestamp":1671992595353,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"QGmTYAicfgHF","outputId":"b46859b5-906d-4b58-de10-894ea135d756"},"outputs":[{"output_type":"stream","name":"stdout","text":["Hyperparameters for the KNN Model : {'metric': 'minkowski', 'n_neighbors': 74, 'weights': 'uniform'}\n","Best mean accuracy of KNN model on Train Data with Hyperparameter Tuning done =  0.2600165953750129\n","Accuracy for the Test Data with Hyperparameter Tuned KNN Model = 0.2315035799522673\n"]}],"source":["# get the hyperparameters with the above best score\n","print('Hyperparameters for the KNN Model :', g_res.best_params_)\n","\n","# find the best score for our KNN model on Train Data after Hyperparameter tuning\n","print(\"Best mean accuracy of KNN model on Train Data with Hyperparameter Tuning done = \", g_res.best_score_)\n","\n","# Accuracy of Hyperparameter tuned KNN model on the Test Data\n","print(\"Accuracy for the Test Data with Hyperparameter Tuned KNN Model =\", g_res.score(X_test_wv_skipgram, y_test))"]},{"cell_type":"code","source":["y_predict_skipgram = g_res.predict(X_test_wv_skipgram)\n","performance_metrics(y_test, y_predict_skipgram)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"0cEZf75WPLYA","executionInfo":{"status":"ok","timestamp":1671992595354,"user_tz":-330,"elapsed":20,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"}},"outputId":"4b8c7a33-d118-4f3f-c1bd-060a4998bb65"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       0.00      0.00      0.00        10\n","           1       0.00      0.00      0.00        11\n","           2       0.00      0.00      0.00         2\n","           3       0.00      0.00      0.00         2\n","           4       0.00      0.00      0.00        41\n","           6       0.00      0.00      0.00         4\n","           7       0.00      0.00      0.00         6\n","           8       0.00      0.00      0.00         5\n","           9       0.00      0.00      0.00         9\n","          10       0.00      0.00      0.00        34\n","          11       0.00      0.00      0.00         1\n","          12       0.00      0.00      0.00        10\n","          13       0.00      0.00      0.00        46\n","          14       0.00      0.00      0.00        23\n","          15       0.00      0.00      0.00         2\n","          16       0.00      0.00      0.00         7\n","          17       0.00      0.00      0.00         8\n","          18       0.00      0.00      0.00         8\n","          19       0.00      0.00      0.00        20\n","          20       0.00      0.00      0.00         2\n","          21       0.00      0.00      0.00        19\n","          22       0.00      0.00      0.00         3\n","          23       0.00      0.00      0.00         4\n","          25       0.00      0.00      0.00         7\n","          26       0.00      0.00      0.00         4\n","          27       0.00      0.00      0.00         4\n","          28       0.00      0.00      0.00        24\n","          29       0.00      0.00      0.00        17\n","          30       0.00      0.00      0.00         6\n","          31       0.00      0.00      0.00         8\n","          32       0.00      0.00      0.00        19\n","          33       0.00      0.00      0.00        10\n","          34       0.22      0.32      0.26       196\n","          35       0.00      0.00      0.00        45\n","          36       0.00      0.00      0.00        10\n","          37       0.00      0.00      0.00         6\n","          38       0.00      0.00      0.00         5\n","          39       0.24      0.66      0.35       200\n","\n","    accuracy                           0.23       838\n","   macro avg       0.01      0.03      0.02       838\n","weighted avg       0.11      0.23      0.14       838\n","\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/metrics/_classification.py:1318: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n","  _warn_prf(average, modifier, msg_start, len(result))\n","/usr/local/lib/python3.8/dist-packages/sklearn/metrics/_classification.py:1318: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n","  _warn_prf(average, modifier, msg_start, len(result))\n","/usr/local/lib/python3.8/dist-packages/sklearn/metrics/_classification.py:1318: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n","  _warn_prf(average, modifier, msg_start, len(result))\n"]}]},{"cell_type":"markdown","metadata":{"id":"YvUwbmmR4wke"},"source":["## Hyperparameter Tuning For SVM Model"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":269862,"status":"ok","timestamp":1671992865203,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"3swSrtmUs0jr","outputId":"c2894247-6836-4780-e8ba-78f83b012ed7"},"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["Fitting 5 folds for each of 50 candidates, totalling 250 fits\n","[CV 1/5] END .....C=0.1, gamma=1, kernel=linear;, score=0.266 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END .....C=0.1, gamma=1, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END .....C=0.1, gamma=1, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END .....C=0.1, gamma=1, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END .....C=0.1, gamma=1, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ........C=0.1, gamma=1, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ........C=0.1, gamma=1, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ........C=0.1, gamma=1, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ........C=0.1, gamma=1, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ........C=0.1, gamma=1, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ...C=0.1, gamma=0.1, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ...C=0.1, gamma=0.1, kernel=linear;, score=0.265 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ...C=0.1, gamma=0.1, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ...C=0.1, gamma=0.1, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ...C=0.1, gamma=0.1, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ......C=0.1, gamma=0.1, kernel=rbf;, score=0.266 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ......C=0.1, gamma=0.1, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ......C=0.1, gamma=0.1, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ......C=0.1, gamma=0.1, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ......C=0.1, gamma=0.1, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ..C=0.1, gamma=0.01, kernel=linear;, score=0.266 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ..C=0.1, gamma=0.01, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ..C=0.1, gamma=0.01, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ..C=0.1, gamma=0.01, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ..C=0.1, gamma=0.01, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END .....C=0.1, gamma=0.01, kernel=rbf;, score=0.266 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END .....C=0.1, gamma=0.01, kernel=rbf;, score=0.265 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END .....C=0.1, gamma=0.01, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END .....C=0.1, gamma=0.01, kernel=rbf;, score=0.265 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END .....C=0.1, gamma=0.01, kernel=rbf;, score=0.265 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END .C=0.1, gamma=0.001, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END .C=0.1, gamma=0.001, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END .C=0.1, gamma=0.001, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END .C=0.1, gamma=0.001, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END .C=0.1, gamma=0.001, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ....C=0.1, gamma=0.001, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ....C=0.1, gamma=0.001, kernel=rbf;, score=0.265 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ....C=0.1, gamma=0.001, kernel=rbf;, score=0.265 total time=   1.6s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ....C=0.1, gamma=0.001, kernel=rbf;, score=0.265 total time=   1.6s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ....C=0.1, gamma=0.001, kernel=rbf;, score=0.265 total time=   2.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END C=0.1, gamma=0.0001, kernel=linear;, score=0.266 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END C=0.1, gamma=0.0001, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END C=0.1, gamma=0.0001, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END C=0.1, gamma=0.0001, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END C=0.1, gamma=0.0001, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ...C=0.1, gamma=0.0001, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ...C=0.1, gamma=0.0001, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ...C=0.1, gamma=0.0001, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ...C=0.1, gamma=0.0001, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ...C=0.1, gamma=0.0001, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END .......C=1, gamma=1, kernel=linear;, score=0.266 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END .......C=1, gamma=1, kernel=linear;, score=0.265 total time=   1.0s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END .......C=1, gamma=1, kernel=linear;, score=0.265 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END .......C=1, gamma=1, kernel=linear;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END .......C=1, gamma=1, kernel=linear;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ..........C=1, gamma=1, kernel=rbf;, score=0.266 total time=   1.5s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ..........C=1, gamma=1, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ..........C=1, gamma=1, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ..........C=1, gamma=1, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ..........C=1, gamma=1, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END .....C=1, gamma=0.1, kernel=linear;, score=0.266 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END .....C=1, gamma=0.1, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END .....C=1, gamma=0.1, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END .....C=1, gamma=0.1, kernel=linear;, score=0.265 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END .....C=1, gamma=0.1, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ........C=1, gamma=0.1, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ........C=1, gamma=0.1, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ........C=1, gamma=0.1, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ........C=1, gamma=0.1, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ........C=1, gamma=0.1, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ....C=1, gamma=0.01, kernel=linear;, score=0.266 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ....C=1, gamma=0.01, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ....C=1, gamma=0.01, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ....C=1, gamma=0.01, kernel=linear;, score=0.265 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ....C=1, gamma=0.01, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END .......C=1, gamma=0.01, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END .......C=1, gamma=0.01, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END .......C=1, gamma=0.01, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END .......C=1, gamma=0.01, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END .......C=1, gamma=0.01, kernel=rbf;, score=0.265 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ...C=1, gamma=0.001, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ...C=1, gamma=0.001, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ...C=1, gamma=0.001, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ...C=1, gamma=0.001, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ...C=1, gamma=0.001, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ......C=1, gamma=0.001, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ......C=1, gamma=0.001, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ......C=1, gamma=0.001, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ......C=1, gamma=0.001, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ......C=1, gamma=0.001, kernel=rbf;, score=0.265 total time=   1.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ..C=1, gamma=0.0001, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ..C=1, gamma=0.0001, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ..C=1, gamma=0.0001, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ..C=1, gamma=0.0001, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ..C=1, gamma=0.0001, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END .....C=1, gamma=0.0001, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END .....C=1, gamma=0.0001, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END .....C=1, gamma=0.0001, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END .....C=1, gamma=0.0001, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END .....C=1, gamma=0.0001, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ......C=10, gamma=1, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ......C=10, gamma=1, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ......C=10, gamma=1, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ......C=10, gamma=1, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ......C=10, gamma=1, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END .........C=10, gamma=1, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END .........C=10, gamma=1, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END .........C=10, gamma=1, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END .........C=10, gamma=1, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END .........C=10, gamma=1, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ....C=10, gamma=0.1, kernel=linear;, score=0.266 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ....C=10, gamma=0.1, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ....C=10, gamma=0.1, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ....C=10, gamma=0.1, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ....C=10, gamma=0.1, kernel=linear;, score=0.265 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END .......C=10, gamma=0.1, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END .......C=10, gamma=0.1, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END .......C=10, gamma=0.1, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END .......C=10, gamma=0.1, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END .......C=10, gamma=0.1, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ...C=10, gamma=0.01, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ...C=10, gamma=0.01, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ...C=10, gamma=0.01, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ...C=10, gamma=0.01, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ...C=10, gamma=0.01, kernel=linear;, score=0.265 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ......C=10, gamma=0.01, kernel=rbf;, score=0.266 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ......C=10, gamma=0.01, kernel=rbf;, score=0.265 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ......C=10, gamma=0.01, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ......C=10, gamma=0.01, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ......C=10, gamma=0.01, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ..C=10, gamma=0.001, kernel=linear;, score=0.266 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ..C=10, gamma=0.001, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ..C=10, gamma=0.001, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ..C=10, gamma=0.001, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ..C=10, gamma=0.001, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END .....C=10, gamma=0.001, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END .....C=10, gamma=0.001, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END .....C=10, gamma=0.001, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END .....C=10, gamma=0.001, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END .....C=10, gamma=0.001, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END .C=10, gamma=0.0001, kernel=linear;, score=0.266 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END .C=10, gamma=0.0001, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END .C=10, gamma=0.0001, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END .C=10, gamma=0.0001, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END .C=10, gamma=0.0001, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ....C=10, gamma=0.0001, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ....C=10, gamma=0.0001, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ....C=10, gamma=0.0001, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ....C=10, gamma=0.0001, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ....C=10, gamma=0.0001, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END .....C=100, gamma=1, kernel=linear;, score=0.266 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END .....C=100, gamma=1, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END .....C=100, gamma=1, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END .....C=100, gamma=1, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END .....C=100, gamma=1, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ........C=100, gamma=1, kernel=rbf;, score=0.266 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ........C=100, gamma=1, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ........C=100, gamma=1, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ........C=100, gamma=1, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ........C=100, gamma=1, kernel=rbf;, score=0.265 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ...C=100, gamma=0.1, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ...C=100, gamma=0.1, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ...C=100, gamma=0.1, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ...C=100, gamma=0.1, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ...C=100, gamma=0.1, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ......C=100, gamma=0.1, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ......C=100, gamma=0.1, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ......C=100, gamma=0.1, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ......C=100, gamma=0.1, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ......C=100, gamma=0.1, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ..C=100, gamma=0.01, kernel=linear;, score=0.266 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ..C=100, gamma=0.01, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ..C=100, gamma=0.01, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ..C=100, gamma=0.01, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ..C=100, gamma=0.01, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END .....C=100, gamma=0.01, kernel=rbf;, score=0.266 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END .....C=100, gamma=0.01, kernel=rbf;, score=0.265 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END .....C=100, gamma=0.01, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END .....C=100, gamma=0.01, kernel=rbf;, score=0.265 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END .....C=100, gamma=0.01, kernel=rbf;, score=0.265 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END .C=100, gamma=0.001, kernel=linear;, score=0.266 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END .C=100, gamma=0.001, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END .C=100, gamma=0.001, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END .C=100, gamma=0.001, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END .C=100, gamma=0.001, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ....C=100, gamma=0.001, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ....C=100, gamma=0.001, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ....C=100, gamma=0.001, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ....C=100, gamma=0.001, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ....C=100, gamma=0.001, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END C=100, gamma=0.0001, kernel=linear;, score=0.266 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END C=100, gamma=0.0001, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END C=100, gamma=0.0001, kernel=linear;, score=0.265 total time=   1.1s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END C=100, gamma=0.0001, kernel=linear;, score=0.265 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END C=100, gamma=0.0001, kernel=linear;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ...C=100, gamma=0.0001, kernel=rbf;, score=0.266 total time=   2.0s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ...C=100, gamma=0.0001, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ...C=100, gamma=0.0001, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ...C=100, gamma=0.0001, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ...C=100, gamma=0.0001, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ....C=1000, gamma=1, kernel=linear;, score=0.266 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ....C=1000, gamma=1, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ....C=1000, gamma=1, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ....C=1000, gamma=1, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ....C=1000, gamma=1, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END .......C=1000, gamma=1, kernel=rbf;, score=0.266 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END .......C=1000, gamma=1, kernel=rbf;, score=0.265 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END .......C=1000, gamma=1, kernel=rbf;, score=0.265 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END .......C=1000, gamma=1, kernel=rbf;, score=0.265 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END .......C=1000, gamma=1, kernel=rbf;, score=0.265 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ..C=1000, gamma=0.1, kernel=linear;, score=0.266 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ..C=1000, gamma=0.1, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ..C=1000, gamma=0.1, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ..C=1000, gamma=0.1, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ..C=1000, gamma=0.1, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END .....C=1000, gamma=0.1, kernel=rbf;, score=0.266 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END .....C=1000, gamma=0.1, kernel=rbf;, score=0.265 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END .....C=1000, gamma=0.1, kernel=rbf;, score=0.265 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END .....C=1000, gamma=0.1, kernel=rbf;, score=0.265 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END .....C=1000, gamma=0.1, kernel=rbf;, score=0.265 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END .C=1000, gamma=0.01, kernel=linear;, score=0.266 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END .C=1000, gamma=0.01, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END .C=1000, gamma=0.01, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END .C=1000, gamma=0.01, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END .C=1000, gamma=0.01, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ....C=1000, gamma=0.01, kernel=rbf;, score=0.266 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ....C=1000, gamma=0.01, kernel=rbf;, score=0.265 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ....C=1000, gamma=0.01, kernel=rbf;, score=0.265 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ....C=1000, gamma=0.01, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ....C=1000, gamma=0.01, kernel=rbf;, score=0.265 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END C=1000, gamma=0.001, kernel=linear;, score=0.266 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END C=1000, gamma=0.001, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END C=1000, gamma=0.001, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END C=1000, gamma=0.001, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END C=1000, gamma=0.001, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ...C=1000, gamma=0.001, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ...C=1000, gamma=0.001, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ...C=1000, gamma=0.001, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ...C=1000, gamma=0.001, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ...C=1000, gamma=0.001, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END C=1000, gamma=0.0001, kernel=linear;, score=0.266 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END C=1000, gamma=0.0001, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END C=1000, gamma=0.0001, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END C=1000, gamma=0.0001, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END C=1000, gamma=0.0001, kernel=linear;, score=0.265 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ..C=1000, gamma=0.0001, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ..C=1000, gamma=0.0001, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ..C=1000, gamma=0.0001, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ..C=1000, gamma=0.0001, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ..C=1000, gamma=0.0001, kernel=rbf;, score=0.265 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]}],"source":["# Hyperparameter Tuning for SVM Model for Skipgram Vectorized dataset\n","\n","# defining parameter range\n","param_grid = {'C': [0.1, 1, 10, 100, 1000],\n","              'gamma': [1, 0.1, 0.01, 0.001, 0.0001],\n","              'kernel': ['linear','rbf']}\n"," \n","grid = GridSearchCV(SVC(), param_grid, refit = True, verbose = 3)\n"," \n","# fitting the model for grid search\n","best_grid = grid.fit(X_train_wv_skipgram, y_train)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":34,"status":"ok","timestamp":1671992865205,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"},"user_tz":-330},"id":"m2MqhOHds6X4","outputId":"f6c4477f-d451-4745-ab52-4f545535c917"},"outputs":[{"output_type":"stream","name":"stdout","text":["Hyperparameters for the SVM Model : {'C': 0.1, 'gamma': 1, 'kernel': 'linear'}\n","Best cross-validated mean accuracy of SVM model with Hyperparameter Tuning done =  0.26497416112133654\n","Accuracy for the Test Data with Hyperparameter Tuned SVM Model = 0.2386634844868735\n"]}],"source":["# print best parameters after Hyperparameter tuning\n","print('Hyperparameters for the SVM Model :', best_grid.best_params_)\n","\n","# find the best score for our SVM model on Train Data after Hyperparameter tuning\n","print(\"Best cross-validated mean accuracy of SVM model with Hyperparameter Tuning done = \", best_grid.best_score_)\n","\n","# Accuracy of Hyperparameter tuned SVM model on the Test Data\n","print(\"Accuracy for the Test Data with Hyperparameter Tuned SVM Model =\", best_grid.score(X_test_wv_skipgram, y_test))"]},{"cell_type":"code","source":["y_predict_skipgram = best_grid.predict(X_test_wv_skipgram)\n","performance_metrics(y_test, y_predict_skipgram)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"mx_NMgg5PbjU","executionInfo":{"status":"ok","timestamp":1671992865579,"user_tz":-330,"elapsed":389,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"}},"outputId":"cc024047-b21c-4495-a182-1189dc18c76c"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       0.00      0.00      0.00        10\n","           1       0.00      0.00      0.00        11\n","           2       0.00      0.00      0.00         2\n","           3       0.00      0.00      0.00         2\n","           4       0.00      0.00      0.00        41\n","           6       0.00      0.00      0.00         4\n","           7       0.00      0.00      0.00         6\n","           8       0.00      0.00      0.00         5\n","           9       0.00      0.00      0.00         9\n","          10       0.00      0.00      0.00        34\n","          11       0.00      0.00      0.00         1\n","          12       0.00      0.00      0.00        10\n","          13       0.00      0.00      0.00        46\n","          14       0.00      0.00      0.00        23\n","          15       0.00      0.00      0.00         2\n","          16       0.00      0.00      0.00         7\n","          17       0.00      0.00      0.00         8\n","          18       0.00      0.00      0.00         8\n","          19       0.00      0.00      0.00        20\n","          20       0.00      0.00      0.00         2\n","          21       0.00      0.00      0.00        19\n","          22       0.00      0.00      0.00         3\n","          23       0.00      0.00      0.00         4\n","          25       0.00      0.00      0.00         7\n","          26       0.00      0.00      0.00         4\n","          27       0.00      0.00      0.00         4\n","          28       0.00      0.00      0.00        24\n","          29       0.00      0.00      0.00        17\n","          30       0.00      0.00      0.00         6\n","          31       0.00      0.00      0.00         8\n","          32       0.00      0.00      0.00        19\n","          33       0.00      0.00      0.00        10\n","          34       0.00      0.00      0.00       196\n","          35       0.00      0.00      0.00        45\n","          36       0.00      0.00      0.00        10\n","          37       0.00      0.00      0.00         6\n","          38       0.00      0.00      0.00         5\n","          39       0.24      1.00      0.39       200\n","\n","    accuracy                           0.24       838\n","   macro avg       0.01      0.03      0.01       838\n","weighted avg       0.06      0.24      0.09       838\n","\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/metrics/_classification.py:1318: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n","  _warn_prf(average, modifier, msg_start, len(result))\n","/usr/local/lib/python3.8/dist-packages/sklearn/metrics/_classification.py:1318: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n","  _warn_prf(average, modifier, msg_start, len(result))\n","/usr/local/lib/python3.8/dist-packages/sklearn/metrics/_classification.py:1318: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n","  _warn_prf(average, modifier, msg_start, len(result))\n"]}]},{"cell_type":"code","source":[],"metadata":{"id":"2BlBC59GSVGv"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["# **ML Models Hyperparameter Tuning for CBOW Vectorized dataset**"],"metadata":{"id":"ztrNuhvt0Fqe"}},{"cell_type":"code","source":["X_test_wv_cbow = test_cbow_data.text\n","y_test = test_cbow_data.iloc[:,1]\n","X_test_wv_cbow.shape, y_test.shape"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"ZafJSQCFM49U","executionInfo":{"status":"ok","timestamp":1671992865580,"user_tz":-330,"elapsed":17,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"}},"outputId":"184d087f-a20f-4a11-8ab6-a0adb6fc0fbe"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["((829,), (829,))"]},"metadata":{},"execution_count":91}]},{"cell_type":"code","source":["X_train_wv_cbow = train_cbow_data.text\n","y_train = train_cbow_data.iloc[:,1]\n","X_train_wv_cbow.shape, y_train.shape"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"uWZh8Fu9NpLm","executionInfo":{"status":"ok","timestamp":1671992866079,"user_tz":-330,"elapsed":506,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"}},"outputId":"92e2190e-3ded-4bef-9861-e13a62eb64b8"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["((4973,), (4973,))"]},"metadata":{},"execution_count":92}]},{"cell_type":"code","source":["type(X_train_wv_cbow), type(y_train)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"KiC8rG3LNruX","executionInfo":{"status":"ok","timestamp":1671992866080,"user_tz":-330,"elapsed":24,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"}},"outputId":"898abc29-b080-4c04-b702-92f6afdb67a2"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(pandas.core.series.Series, pandas.core.series.Series)"]},"metadata":{},"execution_count":93}]},{"cell_type":"markdown","source":["# Converting the Train and Test Datasets to Dataframes"],"metadata":{"id":"aPoFT2mAM6gJ"}},{"cell_type":"code","source":["X_train_wv_cbow = pd.DataFrame(X_train_wv_cbow)\n","y_train = pd.DataFrame(y_train)\n","X_train_wv_cbow.shape, y_train.shape"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"XM_OhaP_M5uS","executionInfo":{"status":"ok","timestamp":1671992866081,"user_tz":-330,"elapsed":21,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"}},"outputId":"817f870a-1946-4f9e-cdd1-8a0485ff4b9c"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["((4973, 1), (4973, 1))"]},"metadata":{},"execution_count":94}]},{"cell_type":"code","source":["X_test_wv_cbow = pd.DataFrame(X_test_wv_cbow)\n","y_test = pd.DataFrame(y_test)\n","X_test_wv_cbow.shape, y_test.shape"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"EUK7kIVUNxdg","executionInfo":{"status":"ok","timestamp":1671992866082,"user_tz":-330,"elapsed":17,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"}},"outputId":"a94153c2-e0df-4308-bc0b-86776cdc37d6"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["((829, 1), (829, 1))"]},"metadata":{},"execution_count":95}]},{"cell_type":"markdown","source":["# Hyperparameter Tuning For KNN Model"],"metadata":{"id":"KrmYf60A0GXd"}},{"cell_type":"code","source":["# Hyperparameter Tuning for KNN Model for cbow Vectorized dataset\n","\n","from sklearn.model_selection import GridSearchCV\n","\n","neighbors = range(1,100)\n","grid_params = { 'n_neighbors' : neighbors,\n","               'weights' : ['uniform','distance'],\n","               'metric' : ['minkowski','euclidean','manhattan']}\n","\n","gs = GridSearchCV(KNeighborsClassifier(), grid_params, verbose = 1, cv=3, n_jobs = -1)\n","\n","# fit the Grid Search model for KNN model on our train set\n","g_res = gs.fit(X_train_wv_cbow, y_train)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"KTLFfxe80FAZ","executionInfo":{"status":"ok","timestamp":1671992934354,"user_tz":-330,"elapsed":68285,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"}},"outputId":"e4573d36-e820-490e-c90a-e513314a12d8"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Fitting 3 folds for each of 594 candidates, totalling 1782 fits\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/neighbors/_classification.py:198: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n","  return self._fit(X, y)\n"]}]},{"cell_type":"code","source":["# get the hyperparameters with the above best score\n","print('Hyperparameters for the KNN Model :',g_res.best_params_)\n","\n","# find the best score for our KNN model on Train Data after Hyperparameter tuning\n","print(\"Best mean accuracy of KNN model on Train Data with Hyperparameter Tuning done = \", g_res.best_score_)\n","\n","# Accuracy of Hyperparameter tuned KNN model on the Test Data\n","print(\"Accuracy for the Test Data with Hyperparameter Tuned KNN Model =\", g_res.score(X_test_wv_cbow, y_test))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"C-bgRh9d8e4b","executionInfo":{"status":"ok","timestamp":1671992934355,"user_tz":-330,"elapsed":12,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"}},"outputId":"4c15b33b-6e84-4a2f-b570-47fad7860ce2"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Hyperparameters for the KNN Model : {'metric': 'minkowski', 'n_neighbors': 54, 'weights': 'uniform'}\n","Best mean accuracy of KNN model on Train Data with Hyperparameter Tuning done =  0.2658358163718688\n","Accuracy for the Test Data with Hyperparameter Tuned KNN Model = 0.24004825090470447\n"]}]},{"cell_type":"code","source":["y_predict_cbow = g_res.predict(X_test_wv_cbow)\n","performance_metrics(y_test, y_predict_cbow)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"9iSicY6zPvB9","executionInfo":{"status":"ok","timestamp":1671992934356,"user_tz":-330,"elapsed":8,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"}},"outputId":"c9cbcefb-92a1-4cfd-d5f8-37cb094fe0b2"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       0.00      0.00      0.00        10\n","           1       0.00      0.00      0.00        10\n","           2       0.00      0.00      0.00         2\n","           3       0.00      0.00      0.00         2\n","           4       0.00      0.00      0.00        37\n","           6       0.00      0.00      0.00         4\n","           7       0.00      0.00      0.00         6\n","           8       0.00      0.00      0.00         5\n","           9       0.00      0.00      0.00         9\n","          10       0.00      0.00      0.00        36\n","          11       0.00      0.00      0.00         1\n","          12       0.00      0.00      0.00        10\n","          13       0.00      0.00      0.00        43\n","          14       0.00      0.00      0.00        23\n","          15       0.00      0.00      0.00         2\n","          16       0.00      0.00      0.00         7\n","          17       0.00      0.00      0.00         8\n","          18       0.00      0.00      0.00         7\n","          19       0.00      0.00      0.00        20\n","          20       0.00      0.00      0.00         2\n","          21       0.00      0.00      0.00        20\n","          22       0.00      0.00      0.00         3\n","          23       0.00      0.00      0.00         4\n","          25       0.00      0.00      0.00         7\n","          26       0.00      0.00      0.00         4\n","          27       0.00      0.00      0.00         4\n","          28       0.00      0.00      0.00        23\n","          29       0.00      0.00      0.00        16\n","          30       0.00      0.00      0.00         6\n","          31       0.00      0.00      0.00         8\n","          32       0.00      0.00      0.00        19\n","          33       0.00      0.00      0.00        10\n","          34       0.24      0.41      0.31       194\n","          35       0.00      0.00      0.00        44\n","          36       0.00      0.00      0.00        10\n","          37       0.00      0.00      0.00         6\n","          38       0.00      0.00      0.00         5\n","          39       0.24      0.59      0.34       202\n","\n","    accuracy                           0.24       829\n","   macro avg       0.01      0.03      0.02       829\n","weighted avg       0.12      0.24      0.15       829\n","\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/metrics/_classification.py:1318: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n","  _warn_prf(average, modifier, msg_start, len(result))\n","/usr/local/lib/python3.8/dist-packages/sklearn/metrics/_classification.py:1318: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n","  _warn_prf(average, modifier, msg_start, len(result))\n","/usr/local/lib/python3.8/dist-packages/sklearn/metrics/_classification.py:1318: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n","  _warn_prf(average, modifier, msg_start, len(result))\n"]}]},{"cell_type":"markdown","source":["# Hyperparameter Tuning For SVM Model"],"metadata":{"id":"jhj2Pe1A1R8G"}},{"cell_type":"code","source":["# Hyperparameter Tuning for SVM Model for cbow Vectorized dataset\n","\n","# defining parameter range\n","param_grid = {'C': [0.1, 1, 10, 100, 1000],\n","              'gamma': [1, 0.1, 0.01, 0.001, 0.0001],\n","              'kernel': ['linear','rbf']}\n"," \n","grid = GridSearchCV(SVC(), param_grid, refit = True, verbose = 3)\n"," \n","# fitting the model for grid search\n","best_grid = grid.fit(X_train_wv_cbow, y_train)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Ak1nJ9tQ1lbr","executionInfo":{"status":"ok","timestamp":1671993204144,"user_tz":-330,"elapsed":269794,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"}},"outputId":"fa0391bb-331c-43bd-b3e4-3060d366eb9e"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["Fitting 5 folds for each of 50 candidates, totalling 250 fits\n","[CV 1/5] END .....C=0.1, gamma=1, kernel=linear;, score=0.266 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END .....C=0.1, gamma=1, kernel=linear;, score=0.267 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END .....C=0.1, gamma=1, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END .....C=0.1, gamma=1, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END .....C=0.1, gamma=1, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ........C=0.1, gamma=1, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ........C=0.1, gamma=1, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ........C=0.1, gamma=1, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ........C=0.1, gamma=1, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ........C=0.1, gamma=1, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ...C=0.1, gamma=0.1, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ...C=0.1, gamma=0.1, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ...C=0.1, gamma=0.1, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ...C=0.1, gamma=0.1, kernel=linear;, score=0.267 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ...C=0.1, gamma=0.1, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ......C=0.1, gamma=0.1, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ......C=0.1, gamma=0.1, kernel=rbf;, score=0.267 total time=   1.6s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ......C=0.1, gamma=0.1, kernel=rbf;, score=0.266 total time=   2.1s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ......C=0.1, gamma=0.1, kernel=rbf;, score=0.267 total time=   2.1s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ......C=0.1, gamma=0.1, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ..C=0.1, gamma=0.01, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ..C=0.1, gamma=0.01, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ..C=0.1, gamma=0.01, kernel=linear;, score=0.266 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ..C=0.1, gamma=0.01, kernel=linear;, score=0.267 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ..C=0.1, gamma=0.01, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END .....C=0.1, gamma=0.01, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END .....C=0.1, gamma=0.01, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END .....C=0.1, gamma=0.01, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END .....C=0.1, gamma=0.01, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END .....C=0.1, gamma=0.01, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END .C=0.1, gamma=0.001, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END .C=0.1, gamma=0.001, kernel=linear;, score=0.267 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END .C=0.1, gamma=0.001, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END .C=0.1, gamma=0.001, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END .C=0.1, gamma=0.001, kernel=linear;, score=0.267 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ....C=0.1, gamma=0.001, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ....C=0.1, gamma=0.001, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ....C=0.1, gamma=0.001, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ....C=0.1, gamma=0.001, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ....C=0.1, gamma=0.001, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END C=0.1, gamma=0.0001, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END C=0.1, gamma=0.0001, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END C=0.1, gamma=0.0001, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END C=0.1, gamma=0.0001, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END C=0.1, gamma=0.0001, kernel=linear;, score=0.267 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ...C=0.1, gamma=0.0001, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ...C=0.1, gamma=0.0001, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ...C=0.1, gamma=0.0001, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ...C=0.1, gamma=0.0001, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ...C=0.1, gamma=0.0001, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END .......C=1, gamma=1, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END .......C=1, gamma=1, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END .......C=1, gamma=1, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END .......C=1, gamma=1, kernel=linear;, score=0.267 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END .......C=1, gamma=1, kernel=linear;, score=0.267 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ..........C=1, gamma=1, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ..........C=1, gamma=1, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ..........C=1, gamma=1, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ..........C=1, gamma=1, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ..........C=1, gamma=1, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END .....C=1, gamma=0.1, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END .....C=1, gamma=0.1, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END .....C=1, gamma=0.1, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END .....C=1, gamma=0.1, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END .....C=1, gamma=0.1, kernel=linear;, score=0.267 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ........C=1, gamma=0.1, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ........C=1, gamma=0.1, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ........C=1, gamma=0.1, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ........C=1, gamma=0.1, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ........C=1, gamma=0.1, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ....C=1, gamma=0.01, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ....C=1, gamma=0.01, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ....C=1, gamma=0.01, kernel=linear;, score=0.266 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ....C=1, gamma=0.01, kernel=linear;, score=0.267 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ....C=1, gamma=0.01, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END .......C=1, gamma=0.01, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END .......C=1, gamma=0.01, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END .......C=1, gamma=0.01, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END .......C=1, gamma=0.01, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END .......C=1, gamma=0.01, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ...C=1, gamma=0.001, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ...C=1, gamma=0.001, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ...C=1, gamma=0.001, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ...C=1, gamma=0.001, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ...C=1, gamma=0.001, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ......C=1, gamma=0.001, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ......C=1, gamma=0.001, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ......C=1, gamma=0.001, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ......C=1, gamma=0.001, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ......C=1, gamma=0.001, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ..C=1, gamma=0.0001, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ..C=1, gamma=0.0001, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ..C=1, gamma=0.0001, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ..C=1, gamma=0.0001, kernel=linear;, score=0.267 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ..C=1, gamma=0.0001, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END .....C=1, gamma=0.0001, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END .....C=1, gamma=0.0001, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END .....C=1, gamma=0.0001, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END .....C=1, gamma=0.0001, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END .....C=1, gamma=0.0001, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ......C=10, gamma=1, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ......C=10, gamma=1, kernel=linear;, score=0.267 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ......C=10, gamma=1, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ......C=10, gamma=1, kernel=linear;, score=0.267 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ......C=10, gamma=1, kernel=linear;, score=0.267 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END .........C=10, gamma=1, kernel=rbf;, score=0.266 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END .........C=10, gamma=1, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END .........C=10, gamma=1, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END .........C=10, gamma=1, kernel=rbf;, score=0.267 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END .........C=10, gamma=1, kernel=rbf;, score=0.267 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ....C=10, gamma=0.1, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ....C=10, gamma=0.1, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ....C=10, gamma=0.1, kernel=linear;, score=0.266 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ....C=10, gamma=0.1, kernel=linear;, score=0.267 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ....C=10, gamma=0.1, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END .......C=10, gamma=0.1, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END .......C=10, gamma=0.1, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END .......C=10, gamma=0.1, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END .......C=10, gamma=0.1, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END .......C=10, gamma=0.1, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ...C=10, gamma=0.01, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ...C=10, gamma=0.01, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ...C=10, gamma=0.01, kernel=linear;, score=0.266 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ...C=10, gamma=0.01, kernel=linear;, score=0.267 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ...C=10, gamma=0.01, kernel=linear;, score=0.267 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ......C=10, gamma=0.01, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ......C=10, gamma=0.01, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ......C=10, gamma=0.01, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ......C=10, gamma=0.01, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ......C=10, gamma=0.01, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ..C=10, gamma=0.001, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ..C=10, gamma=0.001, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ..C=10, gamma=0.001, kernel=linear;, score=0.266 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ..C=10, gamma=0.001, kernel=linear;, score=0.267 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ..C=10, gamma=0.001, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END .....C=10, gamma=0.001, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END .....C=10, gamma=0.001, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END .....C=10, gamma=0.001, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END .....C=10, gamma=0.001, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END .....C=10, gamma=0.001, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END .C=10, gamma=0.0001, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END .C=10, gamma=0.0001, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END .C=10, gamma=0.0001, kernel=linear;, score=0.266 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END .C=10, gamma=0.0001, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END .C=10, gamma=0.0001, kernel=linear;, score=0.267 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ....C=10, gamma=0.0001, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ....C=10, gamma=0.0001, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ....C=10, gamma=0.0001, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ....C=10, gamma=0.0001, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ....C=10, gamma=0.0001, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END .....C=100, gamma=1, kernel=linear;, score=0.266 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END .....C=100, gamma=1, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END .....C=100, gamma=1, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END .....C=100, gamma=1, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END .....C=100, gamma=1, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ........C=100, gamma=1, kernel=rbf;, score=0.266 total time=   1.5s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ........C=100, gamma=1, kernel=rbf;, score=0.267 total time=   1.6s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ........C=100, gamma=1, kernel=rbf;, score=0.266 total time=   1.5s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ........C=100, gamma=1, kernel=rbf;, score=0.267 total time=   1.5s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ........C=100, gamma=1, kernel=rbf;, score=0.267 total time=   1.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ...C=100, gamma=0.1, kernel=linear;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ...C=100, gamma=0.1, kernel=linear;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ...C=100, gamma=0.1, kernel=linear;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ...C=100, gamma=0.1, kernel=linear;, score=0.267 total time=   1.1s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ...C=100, gamma=0.1, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ......C=100, gamma=0.1, kernel=rbf;, score=0.266 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ......C=100, gamma=0.1, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ......C=100, gamma=0.1, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ......C=100, gamma=0.1, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ......C=100, gamma=0.1, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ..C=100, gamma=0.01, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ..C=100, gamma=0.01, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ..C=100, gamma=0.01, kernel=linear;, score=0.266 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ..C=100, gamma=0.01, kernel=linear;, score=0.267 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ..C=100, gamma=0.01, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END .....C=100, gamma=0.01, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END .....C=100, gamma=0.01, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END .....C=100, gamma=0.01, kernel=rbf;, score=0.266 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END .....C=100, gamma=0.01, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END .....C=100, gamma=0.01, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END .C=100, gamma=0.001, kernel=linear;, score=0.266 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END .C=100, gamma=0.001, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END .C=100, gamma=0.001, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END .C=100, gamma=0.001, kernel=linear;, score=0.267 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END .C=100, gamma=0.001, kernel=linear;, score=0.267 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ....C=100, gamma=0.001, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ....C=100, gamma=0.001, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ....C=100, gamma=0.001, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ....C=100, gamma=0.001, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ....C=100, gamma=0.001, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END C=100, gamma=0.0001, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END C=100, gamma=0.0001, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END C=100, gamma=0.0001, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END C=100, gamma=0.0001, kernel=linear;, score=0.267 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END C=100, gamma=0.0001, kernel=linear;, score=0.267 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ...C=100, gamma=0.0001, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ...C=100, gamma=0.0001, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ...C=100, gamma=0.0001, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ...C=100, gamma=0.0001, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ...C=100, gamma=0.0001, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ....C=1000, gamma=1, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ....C=1000, gamma=1, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ....C=1000, gamma=1, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ....C=1000, gamma=1, kernel=linear;, score=0.267 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ....C=1000, gamma=1, kernel=linear;, score=0.267 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END .......C=1000, gamma=1, kernel=rbf;, score=0.266 total time=   2.6s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END .......C=1000, gamma=1, kernel=rbf;, score=0.267 total time=   2.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END .......C=1000, gamma=1, kernel=rbf;, score=0.266 total time=   2.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END .......C=1000, gamma=1, kernel=rbf;, score=0.267 total time=   2.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END .......C=1000, gamma=1, kernel=rbf;, score=0.267 total time=   2.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ..C=1000, gamma=0.1, kernel=linear;, score=0.266 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ..C=1000, gamma=0.1, kernel=linear;, score=0.267 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ..C=1000, gamma=0.1, kernel=linear;, score=0.266 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ..C=1000, gamma=0.1, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ..C=1000, gamma=0.1, kernel=linear;, score=0.267 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END .....C=1000, gamma=0.1, kernel=rbf;, score=0.266 total time=   1.6s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END .....C=1000, gamma=0.1, kernel=rbf;, score=0.267 total time=   1.6s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END .....C=1000, gamma=0.1, kernel=rbf;, score=0.266 total time=   1.6s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END .....C=1000, gamma=0.1, kernel=rbf;, score=0.267 total time=   1.6s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END .....C=1000, gamma=0.1, kernel=rbf;, score=0.267 total time=   1.6s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END .C=1000, gamma=0.01, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END .C=1000, gamma=0.01, kernel=linear;, score=0.267 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END .C=1000, gamma=0.01, kernel=linear;, score=0.266 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END .C=1000, gamma=0.01, kernel=linear;, score=0.267 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END .C=1000, gamma=0.01, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ....C=1000, gamma=0.01, kernel=rbf;, score=0.266 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ....C=1000, gamma=0.01, kernel=rbf;, score=0.267 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ....C=1000, gamma=0.01, kernel=rbf;, score=0.266 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ....C=1000, gamma=0.01, kernel=rbf;, score=0.267 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ....C=1000, gamma=0.01, kernel=rbf;, score=0.267 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END C=1000, gamma=0.001, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END C=1000, gamma=0.001, kernel=linear;, score=0.267 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END C=1000, gamma=0.001, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END C=1000, gamma=0.001, kernel=linear;, score=0.267 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END C=1000, gamma=0.001, kernel=linear;, score=0.267 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ...C=1000, gamma=0.001, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ...C=1000, gamma=0.001, kernel=rbf;, score=0.267 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ...C=1000, gamma=0.001, kernel=rbf;, score=0.266 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ...C=1000, gamma=0.001, kernel=rbf;, score=0.267 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ...C=1000, gamma=0.001, kernel=rbf;, score=0.267 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END C=1000, gamma=0.0001, kernel=linear;, score=0.266 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END C=1000, gamma=0.0001, kernel=linear;, score=0.267 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END C=1000, gamma=0.0001, kernel=linear;, score=0.266 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END C=1000, gamma=0.0001, kernel=linear;, score=0.267 total time=   0.7s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END C=1000, gamma=0.0001, kernel=linear;, score=0.267 total time=   0.8s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 1/5] END ..C=1000, gamma=0.0001, kernel=rbf;, score=0.266 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 2/5] END ..C=1000, gamma=0.0001, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 3/5] END ..C=1000, gamma=0.0001, kernel=rbf;, score=0.266 total time=   1.4s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 4/5] END ..C=1000, gamma=0.0001, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]},{"output_type":"stream","name":"stdout","text":["[CV 5/5] END ..C=1000, gamma=0.0001, kernel=rbf;, score=0.267 total time=   1.3s\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n","  y = column_or_1d(y, warn=True)\n"]}]},{"cell_type":"code","source":["# print best parameter after Hyperparameter tuning\n","print('Hyperparameters for the SVM Model :', best_grid.best_params_)\n","\n","# find the best score for our SVM model on Train Data after Hyperparameter tuning\n","print(\"Best mean accuracy of SVM model on Train Data with Hyperparameter Tuning done = \", best_grid.best_score_)\n","\n","# Accuracy of Hyperparameter tuned SVM model on the Test Data\n","print(\"Accuracy for the Test Data with Hyperparameter Tuned SVM Model =\", best_grid.score(X_test_wv_cbow, y_test))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"itpn4Wrk7HU3","executionInfo":{"status":"ok","timestamp":1671993204805,"user_tz":-330,"elapsed":667,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"}},"outputId":"485c0748-fa58-4faf-a234-a6e73843d9bf"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Hyperparameters for the SVM Model : {'C': 0.1, 'gamma': 1, 'kernel': 'linear'}\n","Best mean accuracy of SVM model on Train Data with Hyperparameter Tuning done =  0.26663983903420524\n","Accuracy for the Test Data with Hyperparameter Tuned SVM Model = 0.2436670687575392\n"]}]},{"cell_type":"code","source":["y_predict_cbow = best_grid.predict(X_test_wv_cbow)\n","performance_metrics(y_test, y_predict_cbow)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"88gOGWGaQJGc","executionInfo":{"status":"ok","timestamp":1671993205371,"user_tz":-330,"elapsed":570,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"}},"outputId":"79850f36-5a90-4950-c67e-ef976c044de8"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       0.00      0.00      0.00        10\n","           1       0.00      0.00      0.00        10\n","           2       0.00      0.00      0.00         2\n","           3       0.00      0.00      0.00         2\n","           4       0.00      0.00      0.00        37\n","           6       0.00      0.00      0.00         4\n","           7       0.00      0.00      0.00         6\n","           8       0.00      0.00      0.00         5\n","           9       0.00      0.00      0.00         9\n","          10       0.00      0.00      0.00        36\n","          11       0.00      0.00      0.00         1\n","          12       0.00      0.00      0.00        10\n","          13       0.00      0.00      0.00        43\n","          14       0.00      0.00      0.00        23\n","          15       0.00      0.00      0.00         2\n","          16       0.00      0.00      0.00         7\n","          17       0.00      0.00      0.00         8\n","          18       0.00      0.00      0.00         7\n","          19       0.00      0.00      0.00        20\n","          20       0.00      0.00      0.00         2\n","          21       0.00      0.00      0.00        20\n","          22       0.00      0.00      0.00         3\n","          23       0.00      0.00      0.00         4\n","          25       0.00      0.00      0.00         7\n","          26       0.00      0.00      0.00         4\n","          27       0.00      0.00      0.00         4\n","          28       0.00      0.00      0.00        23\n","          29       0.00      0.00      0.00        16\n","          30       0.00      0.00      0.00         6\n","          31       0.00      0.00      0.00         8\n","          32       0.00      0.00      0.00        19\n","          33       0.00      0.00      0.00        10\n","          34       0.00      0.00      0.00       194\n","          35       0.00      0.00      0.00        44\n","          36       0.00      0.00      0.00        10\n","          37       0.00      0.00      0.00         6\n","          38       0.00      0.00      0.00         5\n","          39       0.24      1.00      0.39       202\n","\n","    accuracy                           0.24       829\n","   macro avg       0.01      0.03      0.01       829\n","weighted avg       0.06      0.24      0.10       829\n","\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/metrics/_classification.py:1318: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n","  _warn_prf(average, modifier, msg_start, len(result))\n","/usr/local/lib/python3.8/dist-packages/sklearn/metrics/_classification.py:1318: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n","  _warn_prf(average, modifier, msg_start, len(result))\n","/usr/local/lib/python3.8/dist-packages/sklearn/metrics/_classification.py:1318: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n","  _warn_prf(average, modifier, msg_start, len(result))\n"]}]},{"cell_type":"code","source":[],"metadata":{"id":"i7xtWu-6SQW1"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["# **ML Models Hyperparameter Tuning for TFIDF Vectorized dataset**"],"metadata":{"id":"lxBnMfa2824r"}},{"cell_type":"markdown","source":["# Hyperparameter Tuning For Multinomial Naive Bayes Model"],"metadata":{"id":"HPiFVHpP83UI"}},{"cell_type":"code","source":["param={'alpha': [0.00001, 0.0001, 0.001, 0.1, 1, 10, 100,1000]}\n","\n","gs_clf = GridSearchCV(MultinomialNB(),param,cv=10,return_train_score=True)\n","best_clf = gs_clf.fit(X_train_copy, y_train_copy)"],"metadata":{"id":"4gf2z2ue9KZR"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# print best parameter after Hyperparameter tuning\n","print('Hyperparameters for the Multinomial NB Model :',best_clf.best_params_)\n","\n","# find the best score for our Multinomial NB model on Train Data after Hyperparameter tuning\n","print(\"Best mean accuracy of Multinomial NB model on Train Data with Hyperparameter Tuning done = \", best_clf.best_score_)\n","\n","# Accuracy of Hyperparameter tuned Multinomial NB model on the Test Data\n","print(\"Accuracy for the Test Data with Hyperparameter Tuned Multinomial NB Model =\", best_clf.score(X_test_copy, y_test_copy))\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"VOPiO3z17DCM","executionInfo":{"status":"ok","timestamp":1671993274431,"user_tz":-330,"elapsed":24,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"}},"outputId":"36251c57-3cce-44ed-e9f7-9d6f30020948"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Hyperparameters for the Multinomial NB Model : {'alpha': 0.1}\n","Best mean accuracy of Multinomial NB model on Train Data with Hyperparameter Tuning done =  0.4037192311057408\n","Accuracy for the Test Data with Hyperparameter Tuned Multinomial NB Model = 0.4101028711807155\n"]}]},{"cell_type":"code","source":["y_predict_copy = best_clf.predict(X_test_copy)\n","performance_metrics(y_test_copy, y_predict_copy)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"3AMuoIp1LyPF","executionInfo":{"status":"ok","timestamp":1671993274431,"user_tz":-330,"elapsed":20,"user":{"displayName":"Sneha Vijayan","userId":"13047080691629339396"}},"outputId":"74003cdd-5643-4c97-fd29-77066c2d0165"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       0.00      0.00      0.00        28\n","           1       0.00      0.00      0.00        59\n","           2       0.00      0.00      0.00         8\n","           3       0.00      0.00      0.00        11\n","           4       0.75      0.01      0.02       304\n","           5       0.00      0.00      0.00         9\n","           6       0.00      0.00      0.00        32\n","           7       0.00      0.00      0.00        24\n","           8       0.00      0.00      0.00        38\n","           9       0.00      0.00      0.00        43\n","          10       0.00      0.00      0.00       185\n","          11       0.00      0.00      0.00         8\n","          12       0.00      0.00      0.00        64\n","          13       0.00      0.00      0.00       283\n","          14       0.00      0.00      0.00       101\n","          15       0.00      0.00      0.00         3\n","          16       0.00      0.00      0.00        46\n","          17       0.00      0.00      0.00        55\n","          18       0.00      0.00      0.00        29\n","          19       0.50      0.01      0.01       153\n","          20       0.00      0.00      0.00        11\n","          21       0.00      0.00      0.00        78\n","          22       0.00      0.00      0.00        19\n","          23       0.00      0.00      0.00        18\n","          24       0.00      0.00      0.00         2\n","          25       0.00      0.00      0.00        49\n","          26       0.00      0.00      0.00        34\n","          27       0.00      0.00      0.00        21\n","          28       1.00      0.01      0.03       156\n","          29       0.00      0.00      0.00        77\n","          30       0.00      0.00      0.00        22\n","          31       0.00      0.00      0.00        51\n","          32       0.00      0.00      0.00        78\n","          33       0.00      0.00      0.00        32\n","          34       0.52      0.31      0.39      1503\n","          35       0.54      0.05      0.09       376\n","          36       0.00      0.00      0.00        46\n","          37       0.00      0.00      0.00        15\n","          38       1.00      0.11      0.20        27\n","          39       0.39      0.90      0.55      2415\n","\n","    accuracy                           0.41      6513\n","   macro avg       0.12      0.04      0.03      6513\n","weighted avg       0.37      0.41      0.30      6513\n","\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.8/dist-packages/sklearn/metrics/_classification.py:1318: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n","  _warn_prf(average, modifier, msg_start, len(result))\n","/usr/local/lib/python3.8/dist-packages/sklearn/metrics/_classification.py:1318: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n","  _warn_prf(average, modifier, msg_start, len(result))\n","/usr/local/lib/python3.8/dist-packages/sklearn/metrics/_classification.py:1318: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n","  _warn_prf(average, modifier, msg_start, len(result))\n"]}]},{"cell_type":"markdown","source":["5.B.\n","Multinomial NB Supervised ML algorithm gave the highest Train & Test Accuracy of 40.37 & 41 respectively.\n","\n","Probable Reason : \n","1. The Multinomial Naive Bayes can be accepted as the probabilistic approach to classifying documents in the case of acknowledging the frequency of a specified word in a text document.\n","2. simple and robust.\n","3. assigns documents to classes based on the statistical analysis of their contents.\n","4. relies on an assumption of conditional independence of features given a class, which is often a good first approximation to real-world phenomena.\n","5. they predict the tag of a text. They calculate the probability of each tag for a given text and then output the tag with the highest one.\n","\n","5.A.\n","TFID performed better since it worked with Multinomial NB algorithm. Negative values in Word2Vec - Skipgram & CBOW vectorization were not compatible with Multinomial NB ML algorithm.\n","\n","5.C.\n","Multinomial NB Hyperparameter alpha = 0.001 helped to improve the performance of the algorithm.\n","Probable Reason :\n","Algorithm's ability in classifying unseen words during training - for more complex sentences and by that I mean for sentences that may be more and more out of context relative to the training set, the noise will increase. In such cases increasing 'alpha' will be needed to smooth out the class separation. \n","\n","5.D. F1-Score to be given highest importance for multi-class classification since it gives a trade-off between Precision & Recall. Also the classes here have high data imbalance"],"metadata":{"id":"4kwRLc1p2qa9"}},{"cell_type":"code","source":[],"metadata":{"id":"saPw9BcX-Cuu"},"execution_count":null,"outputs":[]}]}