Naive-Bayes.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow as tf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def build_dataset(words):\n",
    "    count = collections.Counter(words).most_common()\n",
    "    dictionary = dict()\n",
    "    for word, _ in count:\n",
    "        dictionary[word] = len(dictionary)\n",
    "    reverse_dictionary = dict(zip(dictionary.values(), dictionary.keys()))\n",
    "    return dictionary, reverse_dictionary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def RNN(x, weight, biases):\n",
    "    # reshape to [1, n_input]\n",
    "    x = tf.reshape(x, [-1, n_input])\n",
    "    \n",
    "    # Generate a n_input-element sequence of inputs\n",
    "    # (eg. [had] [a] [general] -> [20] [6] [33])\n",
    "    x = tf.split(x, n_input, 1)\n",
    "    \n",
    "    # 1-layer LSTM with n_hidden units.\n",
    "    rnn_cell = rnn.BasicLSTMCell(n_hidden)\n",
    "    \n",
    "    # generate prediction \n",
    "    outputs, states = rnn.static_rnn(rnn_cell, x, dtype=tf.float32)\n",
    "    \n",
    "    # There are n_inputs outputs but\n",
    "    # we only want the last output\n",
    "    \n",
    "    return tf.matmul(outputs[-1], weight['out']) + biases['out']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "vocab_size = len(dictionary)\n",
    "n_input = 3\n",
    "\n",
    "# number of units in RNN cell\n",
    "n_hidden = 512\n",
    "\n",
    "# RNN output node weight and biases\n",
    "weight = {\n",
    "    'out': tf.Variable(tf.random_normal([n_hidden, vocab_size]))\n",
    "}\n",
    "\n",
    "biases = {\n",
    "    'out': tf.Variable(tf.random_normal([vocab_size]))\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "symbols_in_keys = [[dictionary[str(training_data[i])]] for i in range(offset, offset+n_input)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "symbols_out_onehot = np.zeros([vocab_size], dtype=float)\n",
    "symbol_out_onehot[dictionary[str(training_data[offset+n_input])]] = 1.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "_, acc, loss, onehot_pred = session.run([optimizer, accuracy, cost, pred], feed_dict={x: symbols_in_keys, y: symbols_out_onehot})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pred = RNN(x, weight, biases)\n",
    "\n",
    "# Loss and optimizer \n",
    "cost =\n",
    "tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits(logits=pred, labels=y))\n",
    "optimizer = \n",
    "tf.train.RMSPropOptimizer(learning_rate=learning_rate).minimize(cost)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "rnn_cell = \n",
    "rnn.MultiRNNCell([rnn.BasicLSTMCell(n_hidden), rnn.BasicLSTMCell(n_hidden)])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Naive Biases"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "import csv \n",
    "def loadCsv(filename):\n",
    "    lines = csv.reader(open(filename, 'r'))\n",
    "    dataset = list(lines)\n",
    "    for i in range(len(dataset)):\n",
    "        dataset[i] = [float(x) for x in dataset[i]]\n",
    "    return dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
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       " [1.0, 136.0, 74.0, 50.0, 204.0, 37.4, 0.399, 24.0, 0.0],\n",
       " [4.0, 114.0, 65.0, 0.0, 0.0, 21.9, 0.432, 37.0, 0.0],\n",
       " [9.0, 156.0, 86.0, 28.0, 155.0, 34.3, 1.189, 42.0, 1.0],\n",
       " [1.0, 153.0, 82.0, 42.0, 485.0, 40.6, 0.687, 23.0, 0.0],\n",
       " [8.0, 188.0, 78.0, 0.0, 0.0, 47.9, 0.137, 43.0, 1.0],\n",
       " [7.0, 152.0, 88.0, 44.0, 0.0, 50.0, 0.337, 36.0, 1.0],\n",
       " [2.0, 99.0, 52.0, 15.0, 94.0, 24.6, 0.637, 21.0, 0.0],\n",
       " [1.0, 109.0, 56.0, 21.0, 135.0, 25.2, 0.833, 23.0, 0.0],\n",
       " [2.0, 88.0, 74.0, 19.0, 53.0, 29.0, 0.229, 22.0, 0.0],\n",
       " [17.0, 163.0, 72.0, 41.0, 114.0, 40.9, 0.817, 47.0, 1.0],\n",
       " [4.0, 151.0, 90.0, 38.0, 0.0, 29.7, 0.294, 36.0, 0.0],\n",
       " [7.0, 102.0, 74.0, 40.0, 105.0, 37.2, 0.204, 45.0, 0.0],\n",
       " [0.0, 114.0, 80.0, 34.0, 285.0, 44.2, 0.167, 27.0, 0.0],\n",
       " [2.0, 100.0, 64.0, 23.0, 0.0, 29.7, 0.368, 21.0, 0.0],\n",
       " [0.0, 131.0, 88.0, 0.0, 0.0, 31.6, 0.743, 32.0, 1.0],\n",
       " [6.0, 104.0, 74.0, 18.0, 156.0, 29.9, 0.722, 41.0, 1.0],\n",
       " [3.0, 148.0, 66.0, 25.0, 0.0, 32.5, 0.256, 22.0, 0.0],\n",
       " [4.0, 120.0, 68.0, 0.0, 0.0, 29.6, 0.709, 34.0, 0.0],\n",
       " [4.0, 110.0, 66.0, 0.0, 0.0, 31.9, 0.471, 29.0, 0.0],\n",
       " [3.0, 111.0, 90.0, 12.0, 78.0, 28.4, 0.495, 29.0, 0.0],\n",
       " [6.0, 102.0, 82.0, 0.0, 0.0, 30.8, 0.18, 36.0, 1.0],\n",
       " [6.0, 134.0, 70.0, 23.0, 130.0, 35.4, 0.542, 29.0, 1.0],\n",
       " [2.0, 87.0, 0.0, 23.0, 0.0, 28.9, 0.773, 25.0, 0.0],\n",
       " [1.0, 79.0, 60.0, 42.0, 48.0, 43.5, 0.678, 23.0, 0.0],\n",
       " [2.0, 75.0, 64.0, 24.0, 55.0, 29.7, 0.37, 33.0, 0.0],\n",
       " [8.0, 179.0, 72.0, 42.0, 130.0, 32.7, 0.719, 36.0, 1.0],\n",
       " [6.0, 85.0, 78.0, 0.0, 0.0, 31.2, 0.382, 42.0, 0.0],\n",
       " [0.0, 129.0, 110.0, 46.0, 130.0, 67.1, 0.319, 26.0, 1.0],\n",
       " [5.0, 143.0, 78.0, 0.0, 0.0, 45.0, 0.19, 47.0, 0.0],\n",
       " [5.0, 130.0, 82.0, 0.0, 0.0, 39.1, 0.956, 37.0, 1.0],\n",
       " [6.0, 87.0, 80.0, 0.0, 0.0, 23.2, 0.084, 32.0, 0.0],\n",
       " [0.0, 119.0, 64.0, 18.0, 92.0, 34.9, 0.725, 23.0, 0.0],\n",
       " [1.0, 0.0, 74.0, 20.0, 23.0, 27.7, 0.299, 21.0, 0.0],\n",
       " [5.0, 73.0, 60.0, 0.0, 0.0, 26.8, 0.268, 27.0, 0.0],\n",
       " [4.0, 141.0, 74.0, 0.0, 0.0, 27.6, 0.244, 40.0, 0.0],\n",
       " [7.0, 194.0, 68.0, 28.0, 0.0, 35.9, 0.745, 41.0, 1.0],\n",
       " [8.0, 181.0, 68.0, 36.0, 495.0, 30.1, 0.615, 60.0, 1.0],\n",
       " [1.0, 128.0, 98.0, 41.0, 58.0, 32.0, 1.321, 33.0, 1.0],\n",
       " [8.0, 109.0, 76.0, 39.0, 114.0, 27.9, 0.64, 31.0, 1.0],\n",
       " [5.0, 139.0, 80.0, 35.0, 160.0, 31.6, 0.361, 25.0, 1.0],\n",
       " [3.0, 111.0, 62.0, 0.0, 0.0, 22.6, 0.142, 21.0, 0.0],\n",
       " [9.0, 123.0, 70.0, 44.0, 94.0, 33.1, 0.374, 40.0, 0.0],\n",
       " [7.0, 159.0, 66.0, 0.0, 0.0, 30.4, 0.383, 36.0, 1.0],\n",
       " [11.0, 135.0, 0.0, 0.0, 0.0, 52.3, 0.578, 40.0, 1.0],\n",
       " [8.0, 85.0, 55.0, 20.0, 0.0, 24.4, 0.136, 42.0, 0.0],\n",
       " [5.0, 158.0, 84.0, 41.0, 210.0, 39.4, 0.395, 29.0, 1.0],\n",
       " [1.0, 105.0, 58.0, 0.0, 0.0, 24.3, 0.187, 21.0, 0.0],\n",
       " [3.0, 107.0, 62.0, 13.0, 48.0, 22.9, 0.678, 23.0, 1.0],\n",
       " [4.0, 109.0, 64.0, 44.0, 99.0, 34.8, 0.905, 26.0, 1.0],\n",
       " [4.0, 148.0, 60.0, 27.0, 318.0, 30.9, 0.15, 29.0, 1.0],\n",
       " [0.0, 113.0, 80.0, 16.0, 0.0, 31.0, 0.874, 21.0, 0.0],\n",
       " [1.0, 138.0, 82.0, 0.0, 0.0, 40.1, 0.236, 28.0, 0.0],\n",
       " [0.0, 108.0, 68.0, 20.0, 0.0, 27.3, 0.787, 32.0, 0.0],\n",
       " [2.0, 99.0, 70.0, 16.0, 44.0, 20.4, 0.235, 27.0, 0.0],\n",
       " [6.0, 103.0, 72.0, 32.0, 190.0, 37.7, 0.324, 55.0, 0.0],\n",
       " [5.0, 111.0, 72.0, 28.0, 0.0, 23.9, 0.407, 27.0, 0.0],\n",
       " [8.0, 196.0, 76.0, 29.0, 280.0, 37.5, 0.605, 57.0, 1.0],\n",
       " [5.0, 162.0, 104.0, 0.0, 0.0, 37.7, 0.151, 52.0, 1.0],\n",
       " [1.0, 96.0, 64.0, 27.0, 87.0, 33.2, 0.289, 21.0, 0.0],\n",
       " [7.0, 184.0, 84.0, 33.0, 0.0, 35.5, 0.355, 41.0, 1.0],\n",
       " [2.0, 81.0, 60.0, 22.0, 0.0, 27.7, 0.29, 25.0, 0.0],\n",
       " [0.0, 147.0, 85.0, 54.0, 0.0, 42.8, 0.375, 24.0, 0.0],\n",
       " [7.0, 179.0, 95.0, 31.0, 0.0, 34.2, 0.164, 60.0, 0.0],\n",
       " [0.0, 140.0, 65.0, 26.0, 130.0, 42.6, 0.431, 24.0, 1.0],\n",
       " [9.0, 112.0, 82.0, 32.0, 175.0, 34.2, 0.26, 36.0, 1.0],\n",
       " [12.0, 151.0, 70.0, 40.0, 271.0, 41.8, 0.742, 38.0, 1.0],\n",
       " [5.0, 109.0, 62.0, 41.0, 129.0, 35.8, 0.514, 25.0, 1.0],\n",
       " [6.0, 125.0, 68.0, 30.0, 120.0, 30.0, 0.464, 32.0, 0.0],\n",
       " [5.0, 85.0, 74.0, 22.0, 0.0, 29.0, 1.224, 32.0, 1.0],\n",
       " [5.0, 112.0, 66.0, 0.0, 0.0, 37.8, 0.261, 41.0, 1.0],\n",
       " [0.0, 177.0, 60.0, 29.0, 478.0, 34.6, 1.072, 21.0, 1.0],\n",
       " [2.0, 158.0, 90.0, 0.0, 0.0, 31.6, 0.805, 66.0, 1.0],\n",
       " [7.0, 119.0, 0.0, 0.0, 0.0, 25.2, 0.209, 37.0, 0.0],\n",
       " [7.0, 142.0, 60.0, 33.0, 190.0, 28.8, 0.687, 61.0, 0.0],\n",
       " [1.0, 100.0, 66.0, 15.0, 56.0, 23.6, 0.666, 26.0, 0.0],\n",
       " [1.0, 87.0, 78.0, 27.0, 32.0, 34.6, 0.101, 22.0, 0.0],\n",
       " [0.0, 101.0, 76.0, 0.0, 0.0, 35.7, 0.198, 26.0, 0.0],\n",
       " [3.0, 162.0, 52.0, 38.0, 0.0, 37.2, 0.652, 24.0, 1.0],\n",
       " [4.0, 197.0, 70.0, 39.0, 744.0, 36.7, 2.329, 31.0, 0.0],\n",
       " [0.0, 117.0, 80.0, 31.0, 53.0, 45.2, 0.089, 24.0, 0.0],\n",
       " [4.0, 142.0, 86.0, 0.0, 0.0, 44.0, 0.645, 22.0, 1.0],\n",
       " [6.0, 134.0, 80.0, 37.0, 370.0, 46.2, 0.238, 46.0, 1.0],\n",
       " [1.0, 79.0, 80.0, 25.0, 37.0, 25.4, 0.583, 22.0, 0.0],\n",
       " [4.0, 122.0, 68.0, 0.0, 0.0, 35.0, 0.394, 29.0, 0.0],\n",
       " [3.0, 74.0, 68.0, 28.0, 45.0, 29.7, 0.293, 23.0, 0.0],\n",
       " [4.0, 171.0, 72.0, 0.0, 0.0, 43.6, 0.479, 26.0, 1.0],\n",
       " [7.0, 181.0, 84.0, 21.0, 192.0, 35.9, 0.586, 51.0, 1.0],\n",
       " [0.0, 179.0, 90.0, 27.0, 0.0, 44.1, 0.686, 23.0, 1.0],\n",
       " [9.0, 164.0, 84.0, 21.0, 0.0, 30.8, 0.831, 32.0, 1.0],\n",
       " [0.0, 104.0, 76.0, 0.0, 0.0, 18.4, 0.582, 27.0, 0.0],\n",
       " [1.0, 91.0, 64.0, 24.0, 0.0, 29.2, 0.192, 21.0, 0.0],\n",
       " [4.0, 91.0, 70.0, 32.0, 88.0, 33.1, 0.446, 22.0, 0.0],\n",
       " [3.0, 139.0, 54.0, 0.0, 0.0, 25.6, 0.402, 22.0, 1.0],\n",
       " [6.0, 119.0, 50.0, 22.0, 176.0, 27.1, 1.318, 33.0, 1.0],\n",
       " [2.0, 146.0, 76.0, 35.0, 194.0, 38.2, 0.329, 29.0, 0.0],\n",
       " [9.0, 184.0, 85.0, 15.0, 0.0, 30.0, 1.213, 49.0, 1.0],\n",
       " [10.0, 122.0, 68.0, 0.0, 0.0, 31.2, 0.258, 41.0, 0.0],\n",
       " [0.0, 165.0, 90.0, 33.0, 680.0, 52.3, 0.427, 23.0, 0.0],\n",
       " [9.0, 124.0, 70.0, 33.0, 402.0, 35.4, 0.282, 34.0, 0.0],\n",
       " [1.0, 111.0, 86.0, 19.0, 0.0, 30.1, 0.143, 23.0, 0.0],\n",
       " [9.0, 106.0, 52.0, 0.0, 0.0, 31.2, 0.38, 42.0, 0.0],\n",
       " [2.0, 129.0, 84.0, 0.0, 0.0, 28.0, 0.284, 27.0, 0.0],\n",
       " [2.0, 90.0, 80.0, 14.0, 55.0, 24.4, 0.249, 24.0, 0.0],\n",
       " [0.0, 86.0, 68.0, 32.0, 0.0, 35.8, 0.238, 25.0, 0.0],\n",
       " [12.0, 92.0, 62.0, 7.0, 258.0, 27.6, 0.926, 44.0, 1.0],\n",
       " [1.0, 113.0, 64.0, 35.0, 0.0, 33.6, 0.543, 21.0, 1.0],\n",
       " [3.0, 111.0, 56.0, 39.0, 0.0, 30.1, 0.557, 30.0, 0.0],\n",
       " [2.0, 114.0, 68.0, 22.0, 0.0, 28.7, 0.092, 25.0, 0.0],\n",
       " [1.0, 193.0, 50.0, 16.0, 375.0, 25.9, 0.655, 24.0, 0.0],\n",
       " [11.0, 155.0, 76.0, 28.0, 150.0, 33.3, 1.353, 51.0, 1.0],\n",
       " [3.0, 191.0, 68.0, 15.0, 130.0, 30.9, 0.299, 34.0, 0.0],\n",
       " [3.0, 141.0, 0.0, 0.0, 0.0, 30.0, 0.761, 27.0, 1.0],\n",
       " [4.0, 95.0, 70.0, 32.0, 0.0, 32.1, 0.612, 24.0, 0.0],\n",
       " [3.0, 142.0, 80.0, 15.0, 0.0, 32.4, 0.2, 63.0, 0.0],\n",
       " [4.0, 123.0, 62.0, 0.0, 0.0, 32.0, 0.226, 35.0, 1.0],\n",
       " [5.0, 96.0, 74.0, 18.0, 67.0, 33.6, 0.997, 43.0, 0.0],\n",
       " [0.0, 138.0, 0.0, 0.0, 0.0, 36.3, 0.933, 25.0, 1.0],\n",
       " [2.0, 128.0, 64.0, 42.0, 0.0, 40.0, 1.101, 24.0, 0.0],\n",
       " [0.0, 102.0, 52.0, 0.0, 0.0, 25.1, 0.078, 21.0, 0.0],\n",
       " [2.0, 146.0, 0.0, 0.0, 0.0, 27.5, 0.24, 28.0, 1.0],\n",
       " [10.0, 101.0, 86.0, 37.0, 0.0, 45.6, 1.136, 38.0, 1.0],\n",
       " [2.0, 108.0, 62.0, 32.0, 56.0, 25.2, 0.128, 21.0, 0.0],\n",
       " [3.0, 122.0, 78.0, 0.0, 0.0, 23.0, 0.254, 40.0, 0.0],\n",
       " [1.0, 71.0, 78.0, 50.0, 45.0, 33.2, 0.422, 21.0, 0.0],\n",
       " [13.0, 106.0, 70.0, 0.0, 0.0, 34.2, 0.251, 52.0, 0.0],\n",
       " [2.0, 100.0, 70.0, 52.0, 57.0, 40.5, 0.677, 25.0, 0.0],\n",
       " [7.0, 106.0, 60.0, 24.0, 0.0, 26.5, 0.296, 29.0, 1.0],\n",
       " [0.0, 104.0, 64.0, 23.0, 116.0, 27.8, 0.454, 23.0, 0.0],\n",
       " [5.0, 114.0, 74.0, 0.0, 0.0, 24.9, 0.744, 57.0, 0.0],\n",
       " [2.0, 108.0, 62.0, 10.0, 278.0, 25.3, 0.881, 22.0, 0.0],\n",
       " [0.0, 146.0, 70.0, 0.0, 0.0, 37.9, 0.334, 28.0, 1.0],\n",
       " [10.0, 129.0, 76.0, 28.0, 122.0, 35.9, 0.28, 39.0, 0.0],\n",
       " [7.0, 133.0, 88.0, 15.0, 155.0, 32.4, 0.262, 37.0, 0.0],\n",
       " [7.0, 161.0, 86.0, 0.0, 0.0, 30.4, 0.165, 47.0, 1.0],\n",
       " [2.0, 108.0, 80.0, 0.0, 0.0, 27.0, 0.259, 52.0, 1.0],\n",
       " [7.0, 136.0, 74.0, 26.0, 135.0, 26.0, 0.647, 51.0, 0.0],\n",
       " [5.0, 155.0, 84.0, 44.0, 545.0, 38.7, 0.619, 34.0, 0.0],\n",
       " [1.0, 119.0, 86.0, 39.0, 220.0, 45.6, 0.808, 29.0, 1.0],\n",
       " [4.0, 96.0, 56.0, 17.0, 49.0, 20.8, 0.34, 26.0, 0.0],\n",
       " [5.0, 108.0, 72.0, 43.0, 75.0, 36.1, 0.263, 33.0, 0.0],\n",
       " [0.0, 78.0, 88.0, 29.0, 40.0, 36.9, 0.434, 21.0, 0.0],\n",
       " [0.0, 107.0, 62.0, 30.0, 74.0, 36.6, 0.757, 25.0, 1.0],\n",
       " [2.0, 128.0, 78.0, 37.0, 182.0, 43.3, 1.224, 31.0, 1.0],\n",
       " [1.0, 128.0, 48.0, 45.0, 194.0, 40.5, 0.613, 24.0, 1.0],\n",
       " [0.0, 161.0, 50.0, 0.0, 0.0, 21.9, 0.254, 65.0, 0.0],\n",
       " [6.0, 151.0, 62.0, 31.0, 120.0, 35.5, 0.692, 28.0, 0.0],\n",
       " [2.0, 146.0, 70.0, 38.0, 360.0, 28.0, 0.337, 29.0, 1.0],\n",
       " [0.0, 126.0, 84.0, 29.0, 215.0, 30.7, 0.52, 24.0, 0.0],\n",
       " [14.0, 100.0, 78.0, 25.0, 184.0, 36.6, 0.412, 46.0, 1.0],\n",
       " [8.0, 112.0, 72.0, 0.0, 0.0, 23.6, 0.84, 58.0, 0.0],\n",
       " [0.0, 167.0, 0.0, 0.0, 0.0, 32.3, 0.839, 30.0, 1.0],\n",
       " [2.0, 144.0, 58.0, 33.0, 135.0, 31.6, 0.422, 25.0, 1.0],\n",
       " [5.0, 77.0, 82.0, 41.0, 42.0, 35.8, 0.156, 35.0, 0.0],\n",
       " [5.0, 115.0, 98.0, 0.0, 0.0, 52.9, 0.209, 28.0, 1.0],\n",
       " [3.0, 150.0, 76.0, 0.0, 0.0, 21.0, 0.207, 37.0, 0.0],\n",
       " [2.0, 120.0, 76.0, 37.0, 105.0, 39.7, 0.215, 29.0, 0.0],\n",
       " [10.0, 161.0, 68.0, 23.0, 132.0, 25.5, 0.326, 47.0, 1.0],\n",
       " [0.0, 137.0, 68.0, 14.0, 148.0, 24.8, 0.143, 21.0, 0.0],\n",
       " [0.0, 128.0, 68.0, 19.0, 180.0, 30.5, 1.391, 25.0, 1.0],\n",
       " [2.0, 124.0, 68.0, 28.0, 205.0, 32.9, 0.875, 30.0, 1.0],\n",
       " [6.0, 80.0, 66.0, 30.0, 0.0, 26.2, 0.313, 41.0, 0.0],\n",
       " [0.0, 106.0, 70.0, 37.0, 148.0, 39.4, 0.605, 22.0, 0.0],\n",
       " [2.0, 155.0, 74.0, 17.0, 96.0, 26.6, 0.433, 27.0, 1.0],\n",
       " [3.0, 113.0, 50.0, 10.0, 85.0, 29.5, 0.626, 25.0, 0.0],\n",
       " [7.0, 109.0, 80.0, 31.0, 0.0, 35.9, 1.127, 43.0, 1.0],\n",
       " [2.0, 112.0, 68.0, 22.0, 94.0, 34.1, 0.315, 26.0, 0.0],\n",
       " [3.0, 99.0, 80.0, 11.0, 64.0, 19.3, 0.284, 30.0, 0.0],\n",
       " [3.0, 182.0, 74.0, 0.0, 0.0, 30.5, 0.345, 29.0, 1.0],\n",
       " [3.0, 115.0, 66.0, 39.0, 140.0, 38.1, 0.15, 28.0, 0.0],\n",
       " [6.0, 194.0, 78.0, 0.0, 0.0, 23.5, 0.129, 59.0, 1.0],\n",
       " [4.0, 129.0, 60.0, 12.0, 231.0, 27.5, 0.527, 31.0, 0.0],\n",
       " [3.0, 112.0, 74.0, 30.0, 0.0, 31.6, 0.197, 25.0, 1.0],\n",
       " [0.0, 124.0, 70.0, 20.0, 0.0, 27.4, 0.254, 36.0, 1.0],\n",
       " [13.0, 152.0, 90.0, 33.0, 29.0, 26.8, 0.731, 43.0, 1.0],\n",
       " [2.0, 112.0, 75.0, 32.0, 0.0, 35.7, 0.148, 21.0, 0.0],\n",
       " [1.0, 157.0, 72.0, 21.0, 168.0, 25.6, 0.123, 24.0, 0.0],\n",
       " [1.0, 122.0, 64.0, 32.0, 156.0, 35.1, 0.692, 30.0, 1.0],\n",
       " [10.0, 179.0, 70.0, 0.0, 0.0, 35.1, 0.2, 37.0, 0.0],\n",
       " [2.0, 102.0, 86.0, 36.0, 120.0, 45.5, 0.127, 23.0, 1.0],\n",
       " [6.0, 105.0, 70.0, 32.0, 68.0, 30.8, 0.122, 37.0, 0.0],\n",
       " [8.0, 118.0, 72.0, 19.0, 0.0, 23.1, 1.476, 46.0, 0.0],\n",
       " [2.0, 87.0, 58.0, 16.0, 52.0, 32.7, 0.166, 25.0, 0.0],\n",
       " [1.0, 180.0, 0.0, 0.0, 0.0, 43.3, 0.282, 41.0, 1.0],\n",
       " [12.0, 106.0, 80.0, 0.0, 0.0, 23.6, 0.137, 44.0, 0.0],\n",
       " [1.0, 95.0, 60.0, 18.0, 58.0, 23.9, 0.26, 22.0, 0.0],\n",
       " [0.0, 165.0, 76.0, 43.0, 255.0, 47.9, 0.259, 26.0, 0.0],\n",
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       " [5.0, 115.0, 76.0, 0.0, 0.0, 31.2, 0.343, 44.0, 1.0],\n",
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       " [5.0, 0.0, 80.0, 32.0, 0.0, 41.0, 0.346, 37.0, 1.0],\n",
       " [4.0, 92.0, 80.0, 0.0, 0.0, 42.2, 0.237, 29.0, 0.0],\n",
       " [4.0, 137.0, 84.0, 0.0, 0.0, 31.2, 0.252, 30.0, 0.0],\n",
       " [3.0, 61.0, 82.0, 28.0, 0.0, 34.4, 0.243, 46.0, 0.0],\n",
       " [1.0, 90.0, 62.0, 12.0, 43.0, 27.2, 0.58, 24.0, 0.0],\n",
       " [3.0, 90.0, 78.0, 0.0, 0.0, 42.7, 0.559, 21.0, 0.0],\n",
       " [9.0, 165.0, 88.0, 0.0, 0.0, 30.4, 0.302, 49.0, 1.0],\n",
       " [1.0, 125.0, 50.0, 40.0, 167.0, 33.3, 0.962, 28.0, 1.0],\n",
       " [13.0, 129.0, 0.0, 30.0, 0.0, 39.9, 0.569, 44.0, 1.0],\n",
       " [12.0, 88.0, 74.0, 40.0, 54.0, 35.3, 0.378, 48.0, 0.0],\n",
       " [1.0, 196.0, 76.0, 36.0, 249.0, 36.5, 0.875, 29.0, 1.0],\n",
       " [5.0, 189.0, 64.0, 33.0, 325.0, 31.2, 0.583, 29.0, 1.0],\n",
       " [5.0, 158.0, 70.0, 0.0, 0.0, 29.8, 0.207, 63.0, 0.0],\n",
       " [5.0, 103.0, 108.0, 37.0, 0.0, 39.2, 0.305, 65.0, 0.0],\n",
       " [4.0, 146.0, 78.0, 0.0, 0.0, 38.5, 0.52, 67.0, 1.0],\n",
       " [4.0, 147.0, 74.0, 25.0, 293.0, 34.9, 0.385, 30.0, 0.0],\n",
       " [5.0, 99.0, 54.0, 28.0, 83.0, 34.0, 0.499, 30.0, 0.0],\n",
       " [6.0, 124.0, 72.0, 0.0, 0.0, 27.6, 0.368, 29.0, 1.0],\n",
       " [0.0, 101.0, 64.0, 17.0, 0.0, 21.0, 0.252, 21.0, 0.0],\n",
       " [3.0, 81.0, 86.0, 16.0, 66.0, 27.5, 0.306, 22.0, 0.0],\n",
       " [1.0, 133.0, 102.0, 28.0, 140.0, 32.8, 0.234, 45.0, 1.0],\n",
       " [3.0, 173.0, 82.0, 48.0, 465.0, 38.4, 2.137, 25.0, 1.0],\n",
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       " [0.0, 84.0, 64.0, 22.0, 66.0, 35.8, 0.545, 21.0, 0.0],\n",
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       " [2.0, 122.0, 52.0, 43.0, 158.0, 36.2, 0.816, 28.0, 0.0],\n",
       " [12.0, 140.0, 82.0, 43.0, 325.0, 39.2, 0.528, 58.0, 1.0],\n",
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       " [1.0, 90.0, 62.0, 18.0, 59.0, 25.1, 1.268, 25.0, 0.0],\n",
       " [1.0, 125.0, 70.0, 24.0, 110.0, 24.3, 0.221, 25.0, 0.0],\n",
       " [1.0, 119.0, 54.0, 13.0, 50.0, 22.3, 0.205, 24.0, 0.0],\n",
       " [5.0, 116.0, 74.0, 29.0, 0.0, 32.3, 0.66, 35.0, 1.0],\n",
       " [8.0, 105.0, 100.0, 36.0, 0.0, 43.3, 0.239, 45.0, 1.0],\n",
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       " [1.0, 131.0, 64.0, 14.0, 415.0, 23.7, 0.389, 21.0, 0.0],\n",
       " [4.0, 116.0, 72.0, 12.0, 87.0, 22.1, 0.463, 37.0, 0.0],\n",
       " [4.0, 158.0, 78.0, 0.0, 0.0, 32.9, 0.803, 31.0, 1.0],\n",
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       " [3.0, 96.0, 56.0, 34.0, 115.0, 24.7, 0.944, 39.0, 0.0],\n",
       " [0.0, 131.0, 66.0, 40.0, 0.0, 34.3, 0.196, 22.0, 1.0],\n",
       " [3.0, 82.0, 70.0, 0.0, 0.0, 21.1, 0.389, 25.0, 0.0],\n",
       " [3.0, 193.0, 70.0, 31.0, 0.0, 34.9, 0.241, 25.0, 1.0],\n",
       " [4.0, 95.0, 64.0, 0.0, 0.0, 32.0, 0.161, 31.0, 1.0],\n",
       " [6.0, 137.0, 61.0, 0.0, 0.0, 24.2, 0.151, 55.0, 0.0],\n",
       " [5.0, 136.0, 84.0, 41.0, 88.0, 35.0, 0.286, 35.0, 1.0],\n",
       " [9.0, 72.0, 78.0, 25.0, 0.0, 31.6, 0.28, 38.0, 0.0],\n",
       " [5.0, 168.0, 64.0, 0.0, 0.0, 32.9, 0.135, 41.0, 1.0],\n",
       " [2.0, 123.0, 48.0, 32.0, 165.0, 42.1, 0.52, 26.0, 0.0],\n",
       " [4.0, 115.0, 72.0, 0.0, 0.0, 28.9, 0.376, 46.0, 1.0],\n",
       " [0.0, 101.0, 62.0, 0.0, 0.0, 21.9, 0.336, 25.0, 0.0],\n",
       " [8.0, 197.0, 74.0, 0.0, 0.0, 25.9, 1.191, 39.0, 1.0],\n",
       " [1.0, 172.0, 68.0, 49.0, 579.0, 42.4, 0.702, 28.0, 1.0],\n",
       " [6.0, 102.0, 90.0, 39.0, 0.0, 35.7, 0.674, 28.0, 0.0],\n",
       " [1.0, 112.0, 72.0, 30.0, 176.0, 34.4, 0.528, 25.0, 0.0],\n",
       " [1.0, 143.0, 84.0, 23.0, 310.0, 42.4, 1.076, 22.0, 0.0],\n",
       " [1.0, 143.0, 74.0, 22.0, 61.0, 26.2, 0.256, 21.0, 0.0],\n",
       " [0.0, 138.0, 60.0, 35.0, 167.0, 34.6, 0.534, 21.0, 1.0],\n",
       " [3.0, 173.0, 84.0, 33.0, 474.0, 35.7, 0.258, 22.0, 1.0],\n",
       " [1.0, 97.0, 68.0, 21.0, 0.0, 27.2, 1.095, 22.0, 0.0],\n",
       " [4.0, 144.0, 82.0, 32.0, 0.0, 38.5, 0.554, 37.0, 1.0],\n",
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       " [3.0, 129.0, 64.0, 29.0, 115.0, 26.4, 0.219, 28.0, 1.0],\n",
       " [1.0, 119.0, 88.0, 41.0, 170.0, 45.3, 0.507, 26.0, 0.0],\n",
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       " [2.0, 99.0, 0.0, 0.0, 0.0, 22.2, 0.108, 23.0, 0.0],\n",
       " [3.0, 89.0, 74.0, 16.0, 85.0, 30.4, 0.551, 38.0, 0.0],\n",
       " [1.0, 80.0, 74.0, 11.0, 60.0, 30.0, 0.527, 22.0, 0.0],\n",
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       " [1.0, 90.0, 68.0, 8.0, 0.0, 24.5, 1.138, 36.0, 0.0],\n",
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       " [0.0, 91.0, 68.0, 32.0, 210.0, 39.9, 0.381, 25.0, 0.0],\n",
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       " [1.0, 135.0, 54.0, 0.0, 0.0, 26.7, 0.687, 62.0, 0.0],\n",
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       " [1.0, 144.0, 82.0, 40.0, 0.0, 41.3, 0.607, 28.0, 0.0],\n",
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       " [2.0, 89.0, 90.0, 30.0, 0.0, 33.5, 0.292, 42.0, 0.0],\n",
       " [4.0, 99.0, 68.0, 38.0, 0.0, 32.8, 0.145, 33.0, 0.0],\n",
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       " [3.0, 80.0, 0.0, 0.0, 0.0, 0.0, 0.174, 22.0, 0.0],\n",
       " [6.0, 166.0, 74.0, 0.0, 0.0, 26.6, 0.304, 66.0, 0.0],\n",
       " [5.0, 110.0, 68.0, 0.0, 0.0, 26.0, 0.292, 30.0, 0.0],\n",
       " [2.0, 81.0, 72.0, 15.0, 76.0, 30.1, 0.547, 25.0, 0.0],\n",
       " [7.0, 195.0, 70.0, 33.0, 145.0, 25.1, 0.163, 55.0, 1.0],\n",
       " [6.0, 154.0, 74.0, 32.0, 193.0, 29.3, 0.839, 39.0, 0.0],\n",
       " [2.0, 117.0, 90.0, 19.0, 71.0, 25.2, 0.313, 21.0, 0.0],\n",
       " [3.0, 84.0, 72.0, 32.0, 0.0, 37.2, 0.267, 28.0, 0.0],\n",
       " [6.0, 0.0, 68.0, 41.0, 0.0, 39.0, 0.727, 41.0, 1.0],\n",
       " [7.0, 94.0, 64.0, 25.0, 79.0, 33.3, 0.738, 41.0, 0.0],\n",
       " [3.0, 96.0, 78.0, 39.0, 0.0, 37.3, 0.238, 40.0, 0.0],\n",
       " [10.0, 75.0, 82.0, 0.0, 0.0, 33.3, 0.263, 38.0, 0.0],\n",
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       " [8.0, 120.0, 78.0, 0.0, 0.0, 25.0, 0.409, 64.0, 0.0],\n",
       " [12.0, 84.0, 72.0, 31.0, 0.0, 29.7, 0.297, 46.0, 1.0],\n",
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       " [9.0, 91.0, 68.0, 0.0, 0.0, 24.2, 0.2, 58.0, 0.0],\n",
       " [2.0, 91.0, 62.0, 0.0, 0.0, 27.3, 0.525, 22.0, 0.0],\n",
       " [3.0, 99.0, 54.0, 19.0, 86.0, 25.6, 0.154, 24.0, 0.0],\n",
       " [3.0, 163.0, 70.0, 18.0, 105.0, 31.6, 0.268, 28.0, 1.0],\n",
       " [9.0, 145.0, 88.0, 34.0, 165.0, 30.3, 0.771, 53.0, 1.0],\n",
       " [7.0, 125.0, 86.0, 0.0, 0.0, 37.6, 0.304, 51.0, 0.0],\n",
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       " [2.0, 68.0, 70.0, 32.0, 66.0, 25.0, 0.187, 25.0, 0.0],\n",
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       " [3.0, 87.0, 60.0, 18.0, 0.0, 21.8, 0.444, 21.0, 0.0],\n",
       " [1.0, 97.0, 64.0, 19.0, 82.0, 18.2, 0.299, 21.0, 0.0],\n",
       " [3.0, 116.0, 74.0, 15.0, 105.0, 26.3, 0.107, 24.0, 0.0],\n",
       " [0.0, 117.0, 66.0, 31.0, 188.0, 30.8, 0.493, 22.0, 0.0],\n",
       " [0.0, 111.0, 65.0, 0.0, 0.0, 24.6, 0.66, 31.0, 0.0],\n",
       " [2.0, 122.0, 60.0, 18.0, 106.0, 29.8, 0.717, 22.0, 0.0],\n",
       " [0.0, 107.0, 76.0, 0.0, 0.0, 45.3, 0.686, 24.0, 0.0],\n",
       " [1.0, 86.0, 66.0, 52.0, 65.0, 41.3, 0.917, 29.0, 0.0],\n",
       " [6.0, 91.0, 0.0, 0.0, 0.0, 29.8, 0.501, 31.0, 0.0],\n",
       " [1.0, 77.0, 56.0, 30.0, 56.0, 33.3, 1.251, 24.0, 0.0],\n",
       " [4.0, 132.0, 0.0, 0.0, 0.0, 32.9, 0.302, 23.0, 1.0],\n",
       " [0.0, 105.0, 90.0, 0.0, 0.0, 29.6, 0.197, 46.0, 0.0],\n",
       " [0.0, 57.0, 60.0, 0.0, 0.0, 21.7, 0.735, 67.0, 0.0],\n",
       " [0.0, 127.0, 80.0, 37.0, 210.0, 36.3, 0.804, 23.0, 0.0],\n",
       " [3.0, 129.0, 92.0, 49.0, 155.0, 36.4, 0.968, 32.0, 1.0],\n",
       " [8.0, 100.0, 74.0, 40.0, 215.0, 39.4, 0.661, 43.0, 1.0],\n",
       " [3.0, 128.0, 72.0, 25.0, 190.0, 32.4, 0.549, 27.0, 1.0],\n",
       " [10.0, 90.0, 85.0, 32.0, 0.0, 34.9, 0.825, 56.0, 1.0],\n",
       " [4.0, 84.0, 90.0, 23.0, 56.0, 39.5, 0.159, 25.0, 0.0],\n",
       " [1.0, 88.0, 78.0, 29.0, 76.0, 32.0, 0.365, 29.0, 0.0],\n",
       " [8.0, 186.0, 90.0, 35.0, 225.0, 34.5, 0.423, 37.0, 1.0],\n",
       " [5.0, 187.0, 76.0, 27.0, 207.0, 43.6, 1.034, 53.0, 1.0],\n",
       " [4.0, 131.0, 68.0, 21.0, 166.0, 33.1, 0.16, 28.0, 0.0],\n",
       " [1.0, 164.0, 82.0, 43.0, 67.0, 32.8, 0.341, 50.0, 0.0],\n",
       " [4.0, 189.0, 110.0, 31.0, 0.0, 28.5, 0.68, 37.0, 0.0],\n",
       " [1.0, 116.0, 70.0, 28.0, 0.0, 27.4, 0.204, 21.0, 0.0],\n",
       " [3.0, 84.0, 68.0, 30.0, 106.0, 31.9, 0.591, 25.0, 0.0],\n",
       " [6.0, 114.0, 88.0, 0.0, 0.0, 27.8, 0.247, 66.0, 0.0],\n",
       " [1.0, 88.0, 62.0, 24.0, 44.0, 29.9, 0.422, 23.0, 0.0],\n",
       " [1.0, 84.0, 64.0, 23.0, 115.0, 36.9, 0.471, 28.0, 0.0],\n",
       " [7.0, 124.0, 70.0, 33.0, 215.0, 25.5, 0.161, 37.0, 0.0],\n",
       " [1.0, 97.0, 70.0, 40.0, 0.0, 38.1, 0.218, 30.0, 0.0],\n",
       " [8.0, 110.0, 76.0, 0.0, 0.0, 27.8, 0.237, 58.0, 0.0],\n",
       " [11.0, 103.0, 68.0, 40.0, 0.0, 46.2, 0.126, 42.0, 0.0],\n",
       " [11.0, 85.0, 74.0, 0.0, 0.0, 30.1, 0.3, 35.0, 0.0],\n",
       " [6.0, 125.0, 76.0, 0.0, 0.0, 33.8, 0.121, 54.0, 1.0],\n",
       " [0.0, 198.0, 66.0, 32.0, 274.0, 41.3, 0.502, 28.0, 1.0],\n",
       " [1.0, 87.0, 68.0, 34.0, 77.0, 37.6, 0.401, 24.0, 0.0],\n",
       " [6.0, 99.0, 60.0, 19.0, 54.0, 26.9, 0.497, 32.0, 0.0],\n",
       " [0.0, 91.0, 80.0, 0.0, 0.0, 32.4, 0.601, 27.0, 0.0],\n",
       " [2.0, 95.0, 54.0, 14.0, 88.0, 26.1, 0.748, 22.0, 0.0],\n",
       " [1.0, 99.0, 72.0, 30.0, 18.0, 38.6, 0.412, 21.0, 0.0],\n",
       " [6.0, 92.0, 62.0, 32.0, 126.0, 32.0, 0.085, 46.0, 0.0],\n",
       " [4.0, 154.0, 72.0, 29.0, 126.0, 31.3, 0.338, 37.0, 0.0],\n",
       " [0.0, 121.0, 66.0, 30.0, 165.0, 34.3, 0.203, 33.0, 1.0],\n",
       " [3.0, 78.0, 70.0, 0.0, 0.0, 32.5, 0.27, 39.0, 0.0],\n",
       " [2.0, 130.0, 96.0, 0.0, 0.0, 22.6, 0.268, 21.0, 0.0],\n",
       " [3.0, 111.0, 58.0, 31.0, 44.0, 29.5, 0.43, 22.0, 0.0],\n",
       " [2.0, 98.0, 60.0, 17.0, 120.0, 34.7, 0.198, 22.0, 0.0],\n",
       " [1.0, 143.0, 86.0, 30.0, 330.0, 30.1, 0.892, 23.0, 0.0],\n",
       " [1.0, 119.0, 44.0, 47.0, 63.0, 35.5, 0.28, 25.0, 0.0],\n",
       " [6.0, 108.0, 44.0, 20.0, 130.0, 24.0, 0.813, 35.0, 0.0],\n",
       " [2.0, 118.0, 80.0, 0.0, 0.0, 42.9, 0.693, 21.0, 1.0],\n",
       " [10.0, 133.0, 68.0, 0.0, 0.0, 27.0, 0.245, 36.0, 0.0],\n",
       " [2.0, 197.0, 70.0, 99.0, 0.0, 34.7, 0.575, 62.0, 1.0],\n",
       " [0.0, 151.0, 90.0, 46.0, 0.0, 42.1, 0.371, 21.0, 1.0],\n",
       " [6.0, 109.0, 60.0, 27.0, 0.0, 25.0, 0.206, 27.0, 0.0],\n",
       " [12.0, 121.0, 78.0, 17.0, 0.0, 26.5, 0.259, 62.0, 0.0],\n",
       " [8.0, 100.0, 76.0, 0.0, 0.0, 38.7, 0.19, 42.0, 0.0],\n",
       " [8.0, 124.0, 76.0, 24.0, 600.0, 28.7, 0.687, 52.0, 1.0],\n",
       " [1.0, 93.0, 56.0, 11.0, 0.0, 22.5, 0.417, 22.0, 0.0],\n",
       " [8.0, 143.0, 66.0, 0.0, 0.0, 34.9, 0.129, 41.0, 1.0],\n",
       " [6.0, 103.0, 66.0, 0.0, 0.0, 24.3, 0.249, 29.0, 0.0],\n",
       " [3.0, 176.0, 86.0, 27.0, 156.0, 33.3, 1.154, 52.0, 1.0],\n",
       " [0.0, 73.0, 0.0, 0.0, 0.0, 21.1, 0.342, 25.0, 0.0],\n",
       " [11.0, 111.0, 84.0, 40.0, 0.0, 46.8, 0.925, 45.0, 1.0],\n",
       " [2.0, 112.0, 78.0, 50.0, 140.0, 39.4, 0.175, 24.0, 0.0],\n",
       " [3.0, 132.0, 80.0, 0.0, 0.0, 34.4, 0.402, 44.0, 1.0],\n",
       " [2.0, 82.0, 52.0, 22.0, 115.0, 28.5, 1.699, 25.0, 0.0],\n",
       " [6.0, 123.0, 72.0, 45.0, 230.0, 33.6, 0.733, 34.0, 0.0],\n",
       " [0.0, 188.0, 82.0, 14.0, 185.0, 32.0, 0.682, 22.0, 1.0],\n",
       " [0.0, 67.0, 76.0, 0.0, 0.0, 45.3, 0.194, 46.0, 0.0],\n",
       " [1.0, 89.0, 24.0, 19.0, 25.0, 27.8, 0.559, 21.0, 0.0],\n",
       " [1.0, 173.0, 74.0, 0.0, 0.0, 36.8, 0.088, 38.0, 1.0],\n",
       " [1.0, 109.0, 38.0, 18.0, 120.0, 23.1, 0.407, 26.0, 0.0],\n",
       " [1.0, 108.0, 88.0, 19.0, 0.0, 27.1, 0.4, 24.0, 0.0],\n",
       " [6.0, 96.0, 0.0, 0.0, 0.0, 23.7, 0.19, 28.0, 0.0],\n",
       " [1.0, 124.0, 74.0, 36.0, 0.0, 27.8, 0.1, 30.0, 0.0],\n",
       " [7.0, 150.0, 78.0, 29.0, 126.0, 35.2, 0.692, 54.0, 1.0],\n",
       " [4.0, 183.0, 0.0, 0.0, 0.0, 28.4, 0.212, 36.0, 1.0],\n",
       " [1.0, 124.0, 60.0, 32.0, 0.0, 35.8, 0.514, 21.0, 0.0],\n",
       " [1.0, 181.0, 78.0, 42.0, 293.0, 40.0, 1.258, 22.0, 1.0],\n",
       " [1.0, 92.0, 62.0, 25.0, 41.0, 19.5, 0.482, 25.0, 0.0],\n",
       " [0.0, 152.0, 82.0, 39.0, 272.0, 41.5, 0.27, 27.0, 0.0],\n",
       " [1.0, 111.0, 62.0, 13.0, 182.0, 24.0, 0.138, 23.0, 0.0],\n",
       " [3.0, 106.0, 54.0, 21.0, 158.0, 30.9, 0.292, 24.0, 0.0],\n",
       " [3.0, 174.0, 58.0, 22.0, 194.0, 32.9, 0.593, 36.0, 1.0],\n",
       " [7.0, 168.0, 88.0, 42.0, 321.0, 38.2, 0.787, 40.0, 1.0],\n",
       " [6.0, 105.0, 80.0, 28.0, 0.0, 32.5, 0.878, 26.0, 0.0],\n",
       " [11.0, 138.0, 74.0, 26.0, 144.0, 36.1, 0.557, 50.0, 1.0],\n",
       " [3.0, 106.0, 72.0, 0.0, 0.0, 25.8, 0.207, 27.0, 0.0],\n",
       " [6.0, 117.0, 96.0, 0.0, 0.0, 28.7, 0.157, 30.0, 0.0],\n",
       " [2.0, 68.0, 62.0, 13.0, 15.0, 20.1, 0.257, 23.0, 0.0],\n",
       " [9.0, 112.0, 82.0, 24.0, 0.0, 28.2, 1.282, 50.0, 1.0],\n",
       " [0.0, 119.0, 0.0, 0.0, 0.0, 32.4, 0.141, 24.0, 1.0],\n",
       " [2.0, 112.0, 86.0, 42.0, 160.0, 38.4, 0.246, 28.0, 0.0],\n",
       " [2.0, 92.0, 76.0, 20.0, 0.0, 24.2, 1.698, 28.0, 0.0],\n",
       " [6.0, 183.0, 94.0, 0.0, 0.0, 40.8, 1.461, 45.0, 0.0],\n",
       " [0.0, 94.0, 70.0, 27.0, 115.0, 43.5, 0.347, 21.0, 0.0],\n",
       " [2.0, 108.0, 64.0, 0.0, 0.0, 30.8, 0.158, 21.0, 0.0],\n",
       " [4.0, 90.0, 88.0, 47.0, 54.0, 37.7, 0.362, 29.0, 0.0],\n",
       " [0.0, 125.0, 68.0, 0.0, 0.0, 24.7, 0.206, 21.0, 0.0],\n",
       " [0.0, 132.0, 78.0, 0.0, 0.0, 32.4, 0.393, 21.0, 0.0],\n",
       " [5.0, 128.0, 80.0, 0.0, 0.0, 34.6, 0.144, 45.0, 0.0],\n",
       " [4.0, 94.0, 65.0, 22.0, 0.0, 24.7, 0.148, 21.0, 0.0],\n",
       " [7.0, 114.0, 64.0, 0.0, 0.0, 27.4, 0.732, 34.0, 1.0],\n",
       " [0.0, 102.0, 78.0, 40.0, 90.0, 34.5, 0.238, 24.0, 0.0],\n",
       " [2.0, 111.0, 60.0, 0.0, 0.0, 26.2, 0.343, 23.0, 0.0],\n",
       " [1.0, 128.0, 82.0, 17.0, 183.0, 27.5, 0.115, 22.0, 0.0],\n",
       " [10.0, 92.0, 62.0, 0.0, 0.0, 25.9, 0.167, 31.0, 0.0],\n",
       " [13.0, 104.0, 72.0, 0.0, 0.0, 31.2, 0.465, 38.0, 1.0],\n",
       " [5.0, 104.0, 74.0, 0.0, 0.0, 28.8, 0.153, 48.0, 0.0],\n",
       " [2.0, 94.0, 76.0, 18.0, 66.0, 31.6, 0.649, 23.0, 0.0],\n",
       " [7.0, 97.0, 76.0, 32.0, 91.0, 40.9, 0.871, 32.0, 1.0],\n",
       " [1.0, 100.0, 74.0, 12.0, 46.0, 19.5, 0.149, 28.0, 0.0],\n",
       " [0.0, 102.0, 86.0, 17.0, 105.0, 29.3, 0.695, 27.0, 0.0],\n",
       " [4.0, 128.0, 70.0, 0.0, 0.0, 34.3, 0.303, 24.0, 0.0],\n",
       " [6.0, 147.0, 80.0, 0.0, 0.0, 29.5, 0.178, 50.0, 1.0],\n",
       " [4.0, 90.0, 0.0, 0.0, 0.0, 28.0, 0.61, 31.0, 0.0],\n",
       " [3.0, 103.0, 72.0, 30.0, 152.0, 27.6, 0.73, 27.0, 0.0],\n",
       " [2.0, 157.0, 74.0, 35.0, 440.0, 39.4, 0.134, 30.0, 0.0],\n",
       " [1.0, 167.0, 74.0, 17.0, 144.0, 23.4, 0.447, 33.0, 1.0],\n",
       " [0.0, 179.0, 50.0, 36.0, 159.0, 37.8, 0.455, 22.0, 1.0],\n",
       " [11.0, 136.0, 84.0, 35.0, 130.0, 28.3, 0.26, 42.0, 1.0],\n",
       " [0.0, 107.0, 60.0, 25.0, 0.0, 26.4, 0.133, 23.0, 0.0],\n",
       " [1.0, 91.0, 54.0, 25.0, 100.0, 25.2, 0.234, 23.0, 0.0],\n",
       " [1.0, 117.0, 60.0, 23.0, 106.0, 33.8, 0.466, 27.0, 0.0],\n",
       " [5.0, 123.0, 74.0, 40.0, 77.0, 34.1, 0.269, 28.0, 0.0],\n",
       " [2.0, 120.0, 54.0, 0.0, 0.0, 26.8, 0.455, 27.0, 0.0],\n",
       " [1.0, 106.0, 70.0, 28.0, 135.0, 34.2, 0.142, 22.0, 0.0],\n",
       " [2.0, 155.0, 52.0, 27.0, 540.0, 38.7, 0.24, 25.0, 1.0],\n",
       " [2.0, 101.0, 58.0, 35.0, 90.0, 21.8, 0.155, 22.0, 0.0],\n",
       " [1.0, 120.0, 80.0, 48.0, 200.0, 38.9, 1.162, 41.0, 0.0],\n",
       " [11.0, 127.0, 106.0, 0.0, 0.0, 39.0, 0.19, 51.0, 0.0],\n",
       " [3.0, 80.0, 82.0, 31.0, 70.0, 34.2, 1.292, 27.0, 1.0],\n",
       " [10.0, 162.0, 84.0, 0.0, 0.0, 27.7, 0.182, 54.0, 0.0],\n",
       " [1.0, 199.0, 76.0, 43.0, 0.0, 42.9, 1.394, 22.0, 1.0],\n",
       " [8.0, 167.0, 106.0, 46.0, 231.0, 37.6, 0.165, 43.0, 1.0],\n",
       " [9.0, 145.0, 80.0, 46.0, 130.0, 37.9, 0.637, 40.0, 1.0],\n",
       " [6.0, 115.0, 60.0, 39.0, 0.0, 33.7, 0.245, 40.0, 1.0],\n",
       " [1.0, 112.0, 80.0, 45.0, 132.0, 34.8, 0.217, 24.0, 0.0],\n",
       " [4.0, 145.0, 82.0, 18.0, 0.0, 32.5, 0.235, 70.0, 1.0],\n",
       " [10.0, 111.0, 70.0, 27.0, 0.0, 27.5, 0.141, 40.0, 1.0],\n",
       " [6.0, 98.0, 58.0, 33.0, 190.0, 34.0, 0.43, 43.0, 0.0],\n",
       " [9.0, 154.0, 78.0, 30.0, 100.0, 30.9, 0.164, 45.0, 0.0],\n",
       " [6.0, 165.0, 68.0, 26.0, 168.0, 33.6, 0.631, 49.0, 0.0],\n",
       " [1.0, 99.0, 58.0, 10.0, 0.0, 25.4, 0.551, 21.0, 0.0],\n",
       " [10.0, 68.0, 106.0, 23.0, 49.0, 35.5, 0.285, 47.0, 0.0],\n",
       " [3.0, 123.0, 100.0, 35.0, 240.0, 57.3, 0.88, 22.0, 0.0],\n",
       " [8.0, 91.0, 82.0, 0.0, 0.0, 35.6, 0.587, 68.0, 0.0],\n",
       " [6.0, 195.0, 70.0, 0.0, 0.0, 30.9, 0.328, 31.0, 1.0],\n",
       " [9.0, 156.0, 86.0, 0.0, 0.0, 24.8, 0.23, 53.0, 1.0],\n",
       " [0.0, 93.0, 60.0, 0.0, 0.0, 35.3, 0.263, 25.0, 0.0],\n",
       " [3.0, 121.0, 52.0, 0.0, 0.0, 36.0, 0.127, 25.0, 1.0],\n",
       " [2.0, 101.0, 58.0, 17.0, 265.0, 24.2, 0.614, 23.0, 0.0],\n",
       " [2.0, 56.0, 56.0, 28.0, 45.0, 24.2, 0.332, 22.0, 0.0],\n",
       " [0.0, 162.0, 76.0, 36.0, 0.0, 49.6, 0.364, 26.0, 1.0],\n",
       " [0.0, 95.0, 64.0, 39.0, 105.0, 44.6, 0.366, 22.0, 0.0],\n",
       " [4.0, 125.0, 80.0, 0.0, 0.0, 32.3, 0.536, 27.0, 1.0],\n",
       " [5.0, 136.0, 82.0, 0.0, 0.0, 0.0, 0.64, 69.0, 0.0],\n",
       " [2.0, 129.0, 74.0, 26.0, 205.0, 33.2, 0.591, 25.0, 0.0],\n",
       " [3.0, 130.0, 64.0, 0.0, 0.0, 23.1, 0.314, 22.0, 0.0],\n",
       " [1.0, 107.0, 50.0, 19.0, 0.0, 28.3, 0.181, 29.0, 0.0],\n",
       " [1.0, 140.0, 74.0, 26.0, 180.0, 24.1, 0.828, 23.0, 0.0],\n",
       " [1.0, 144.0, 82.0, 46.0, 180.0, 46.1, 0.335, 46.0, 1.0],\n",
       " [8.0, 107.0, 80.0, 0.0, 0.0, 24.6, 0.856, 34.0, 0.0],\n",
       " [13.0, 158.0, 114.0, 0.0, 0.0, 42.3, 0.257, 44.0, 1.0],\n",
       " [2.0, 121.0, 70.0, 32.0, 95.0, 39.1, 0.886, 23.0, 0.0],\n",
       " [7.0, 129.0, 68.0, 49.0, 125.0, 38.5, 0.439, 43.0, 1.0],\n",
       " [2.0, 90.0, 60.0, 0.0, 0.0, 23.5, 0.191, 25.0, 0.0],\n",
       " [7.0, 142.0, 90.0, 24.0, 480.0, 30.4, 0.128, 43.0, 1.0],\n",
       " [3.0, 169.0, 74.0, 19.0, 125.0, 29.9, 0.268, 31.0, 1.0],\n",
       " [0.0, 99.0, 0.0, 0.0, 0.0, 25.0, 0.253, 22.0, 0.0],\n",
       " [4.0, 127.0, 88.0, 11.0, 155.0, 34.5, 0.598, 28.0, 0.0],\n",
       " [4.0, 118.0, 70.0, 0.0, 0.0, 44.5, 0.904, 26.0, 0.0],\n",
       " [2.0, 122.0, 76.0, 27.0, 200.0, 35.9, 0.483, 26.0, 0.0],\n",
       " [6.0, 125.0, 78.0, 31.0, 0.0, 27.6, 0.565, 49.0, 1.0],\n",
       " [1.0, 168.0, 88.0, 29.0, 0.0, 35.0, 0.905, 52.0, 1.0],\n",
       " [2.0, 129.0, 0.0, 0.0, 0.0, 38.5, 0.304, 41.0, 0.0],\n",
       " [4.0, 110.0, 76.0, 20.0, 100.0, 28.4, 0.118, 27.0, 0.0],\n",
       " [6.0, 80.0, 80.0, 36.0, 0.0, 39.8, 0.177, 28.0, 0.0],\n",
       " [10.0, 115.0, 0.0, 0.0, 0.0, 0.0, 0.261, 30.0, 1.0],\n",
       " [2.0, 127.0, 46.0, 21.0, 335.0, 34.4, 0.176, 22.0, 0.0],\n",
       " [9.0, 164.0, 78.0, 0.0, 0.0, 32.8, 0.148, 45.0, 1.0],\n",
       " [2.0, 93.0, 64.0, 32.0, 160.0, 38.0, 0.674, 23.0, 1.0],\n",
       " [3.0, 158.0, 64.0, 13.0, 387.0, 31.2, 0.295, 24.0, 0.0],\n",
       " [5.0, 126.0, 78.0, 27.0, 22.0, 29.6, 0.439, 40.0, 0.0],\n",
       " [10.0, 129.0, 62.0, 36.0, 0.0, 41.2, 0.441, 38.0, 1.0],\n",
       " [0.0, 134.0, 58.0, 20.0, 291.0, 26.4, 0.352, 21.0, 0.0],\n",
       " [3.0, 102.0, 74.0, 0.0, 0.0, 29.5, 0.121, 32.0, 0.0],\n",
       " [7.0, 187.0, 50.0, 33.0, 392.0, 33.9, 0.826, 34.0, 1.0],\n",
       " [3.0, 173.0, 78.0, 39.0, 185.0, 33.8, 0.97, 31.0, 1.0],\n",
       " [10.0, 94.0, 72.0, 18.0, 0.0, 23.1, 0.595, 56.0, 0.0],\n",
       " [1.0, 108.0, 60.0, 46.0, 178.0, 35.5, 0.415, 24.0, 0.0],\n",
       " [5.0, 97.0, 76.0, 27.0, 0.0, 35.6, 0.378, 52.0, 1.0],\n",
       " [4.0, 83.0, 86.0, 19.0, 0.0, 29.3, 0.317, 34.0, 0.0],\n",
       " [1.0, 114.0, 66.0, 36.0, 200.0, 38.1, 0.289, 21.0, 0.0],\n",
       " [1.0, 149.0, 68.0, 29.0, 127.0, 29.3, 0.349, 42.0, 1.0],\n",
       " [5.0, 117.0, 86.0, 30.0, 105.0, 39.1, 0.251, 42.0, 0.0],\n",
       " [1.0, 111.0, 94.0, 0.0, 0.0, 32.8, 0.265, 45.0, 0.0],\n",
       " [4.0, 112.0, 78.0, 40.0, 0.0, 39.4, 0.236, 38.0, 0.0],\n",
       " [1.0, 116.0, 78.0, 29.0, 180.0, 36.1, 0.496, 25.0, 0.0],\n",
       " [0.0, 141.0, 84.0, 26.0, 0.0, 32.4, 0.433, 22.0, 0.0],\n",
       " [2.0, 175.0, 88.0, 0.0, 0.0, 22.9, 0.326, 22.0, 0.0],\n",
       " [2.0, 92.0, 52.0, 0.0, 0.0, 30.1, 0.141, 22.0, 0.0],\n",
       " [3.0, 130.0, 78.0, 23.0, 79.0, 28.4, 0.323, 34.0, 1.0],\n",
       " [8.0, 120.0, 86.0, 0.0, 0.0, 28.4, 0.259, 22.0, 1.0],\n",
       " [2.0, 174.0, 88.0, 37.0, 120.0, 44.5, 0.646, 24.0, 1.0],\n",
       " [2.0, 106.0, 56.0, 27.0, 165.0, 29.0, 0.426, 22.0, 0.0],\n",
       " [2.0, 105.0, 75.0, 0.0, 0.0, 23.3, 0.56, 53.0, 0.0],\n",
       " [4.0, 95.0, 60.0, 32.0, 0.0, 35.4, 0.284, 28.0, 0.0],\n",
       " [0.0, 126.0, 86.0, 27.0, 120.0, 27.4, 0.515, 21.0, 0.0],\n",
       " [8.0, 65.0, 72.0, 23.0, 0.0, 32.0, 0.6, 42.0, 0.0],\n",
       " [2.0, 99.0, 60.0, 17.0, 160.0, 36.6, 0.453, 21.0, 0.0],\n",
       " [1.0, 102.0, 74.0, 0.0, 0.0, 39.5, 0.293, 42.0, 1.0],\n",
       " [11.0, 120.0, 80.0, 37.0, 150.0, 42.3, 0.785, 48.0, 1.0],\n",
       " [3.0, 102.0, 44.0, 20.0, 94.0, 30.8, 0.4, 26.0, 0.0],\n",
       " [1.0, 109.0, 58.0, 18.0, 116.0, 28.5, 0.219, 22.0, 0.0],\n",
       " [9.0, 140.0, 94.0, 0.0, 0.0, 32.7, 0.734, 45.0, 1.0],\n",
       " [13.0, 153.0, 88.0, 37.0, 140.0, 40.6, 1.174, 39.0, 0.0],\n",
       " [12.0, 100.0, 84.0, 33.0, 105.0, 30.0, 0.488, 46.0, 0.0],\n",
       " [1.0, 147.0, 94.0, 41.0, 0.0, 49.3, 0.358, 27.0, 1.0],\n",
       " [1.0, 81.0, 74.0, 41.0, 57.0, 46.3, 1.096, 32.0, 0.0],\n",
       " [3.0, 187.0, 70.0, 22.0, 200.0, 36.4, 0.408, 36.0, 1.0],\n",
       " [6.0, 162.0, 62.0, 0.0, 0.0, 24.3, 0.178, 50.0, 1.0],\n",
       " [4.0, 136.0, 70.0, 0.0, 0.0, 31.2, 1.182, 22.0, 1.0],\n",
       " [1.0, 121.0, 78.0, 39.0, 74.0, 39.0, 0.261, 28.0, 0.0],\n",
       " [3.0, 108.0, 62.0, 24.0, 0.0, 26.0, 0.223, 25.0, 0.0],\n",
       " [0.0, 181.0, 88.0, 44.0, 510.0, 43.3, 0.222, 26.0, 1.0],\n",
       " [8.0, 154.0, 78.0, 32.0, 0.0, 32.4, 0.443, 45.0, 1.0],\n",
       " [1.0, 128.0, 88.0, 39.0, 110.0, 36.5, 1.057, 37.0, 1.0],\n",
       " [7.0, 137.0, 90.0, 41.0, 0.0, 32.0, 0.391, 39.0, 0.0],\n",
       " [0.0, 123.0, 72.0, 0.0, 0.0, 36.3, 0.258, 52.0, 1.0],\n",
       " [1.0, 106.0, 76.0, 0.0, 0.0, 37.5, 0.197, 26.0, 0.0],\n",
       " [6.0, 190.0, 92.0, 0.0, 0.0, 35.5, 0.278, 66.0, 1.0],\n",
       " [2.0, 88.0, 58.0, 26.0, 16.0, 28.4, 0.766, 22.0, 0.0],\n",
       " [9.0, 170.0, 74.0, 31.0, 0.0, 44.0, 0.403, 43.0, 1.0],\n",
       " [9.0, 89.0, 62.0, 0.0, 0.0, 22.5, 0.142, 33.0, 0.0],\n",
       " [10.0, 101.0, 76.0, 48.0, 180.0, 32.9, 0.171, 63.0, 0.0],\n",
       " [2.0, 122.0, 70.0, 27.0, 0.0, 36.8, 0.34, 27.0, 0.0],\n",
       " [5.0, 121.0, 72.0, 23.0, 112.0, 26.2, 0.245, 30.0, 0.0],\n",
       " [1.0, 126.0, 60.0, 0.0, 0.0, 30.1, 0.349, 47.0, 1.0],\n",
       " [1.0, 93.0, 70.0, 31.0, 0.0, 30.4, 0.315, 23.0, 0.0]]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "loadCsv('prima_indians_diabetes.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loaded data file prima_indians_diabetes.csv with 768 rows\n"
     ]
    }
   ],
   "source": [
    "# Taking the data as pima-indians-diabets data\n",
    "filename = 'prima_indians_diabetes.csv'\n",
    "dataset = loadCsv(filename)\n",
    "print('Loaded data file %s with %d rows'%(filename, len(dataset)))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "import random\n",
    "def splitDataset(dataset, splitRatio):\n",
    "    trainSize = int(len(dataset) * splitRatio)\n",
    "    trainSet = []\n",
    "    copy = list(dataset)\n",
    "    while len(trainSet) < trainSize:\n",
    "        index = random.randrange(len(copy))\n",
    "        trainSet.append(copy.pop(index))\n",
    "    return [trainSet, copy]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Split 768 rows into train with [[6.0, 103.0, 72.0, 32.0, 190.0, 37.7, 0.324, 55.0, 0.0], [8.0, 125.0, 96.0, 0.0, 0.0, 0.0, 0.232, 54.0, 1.0], [6.0, 107.0, 88.0, 0.0, 0.0, 36.8, 0.727, 31.0, 0.0], [14.0, 175.0, 62.0, 30.0, 0.0, 33.6, 0.212, 38.0, 1.0], [17.0, 163.0, 72.0, 41.0, 114.0, 40.9, 0.817, 47.0, 1.0], [10.0, 179.0, 70.0, 0.0, 0.0, 35.1, 0.2, 37.0, 0.0], [10.0, 101.0, 76.0, 48.0, 180.0, 32.9, 0.171, 63.0, 0.0], [5.0, 158.0, 84.0, 41.0, 210.0, 39.4, 0.395, 29.0, 1.0], [0.0, 165.0, 76.0, 43.0, 255.0, 47.9, 0.259, 26.0, 0.0], [5.0, 168.0, 64.0, 0.0, 0.0, 32.9, 0.135, 41.0, 1.0], [1.0, 81.0, 74.0, 41.0, 57.0, 46.3, 1.096, 32.0, 0.0], [7.0, 125.0, 86.0, 0.0, 0.0, 37.6, 0.304, 51.0, 0.0], [6.0, 134.0, 70.0, 23.0, 130.0, 35.4, 0.542, 29.0, 1.0], [3.0, 123.0, 100.0, 35.0, 240.0, 57.3, 0.88, 22.0, 0.0], [0.0, 125.0, 68.0, 0.0, 0.0, 24.7, 0.206, 21.0, 0.0], [4.0, 84.0, 90.0, 23.0, 56.0, 39.5, 0.159, 25.0, 0.0], [1.0, 97.0, 66.0, 15.0, 140.0, 23.2, 0.487, 22.0, 0.0], [8.0, 84.0, 74.0, 31.0, 0.0, 38.3, 0.457, 39.0, 0.0], [2.0, 88.0, 74.0, 19.0, 53.0, 29.0, 0.229, 22.0, 0.0], [1.0, 79.0, 75.0, 30.0, 0.0, 32.0, 0.396, 22.0, 0.0], [2.0, 81.0, 60.0, 22.0, 0.0, 27.7, 0.29, 25.0, 0.0], [1.0, 199.0, 76.0, 43.0, 0.0, 42.9, 1.394, 22.0, 1.0], [0.0, 139.0, 62.0, 17.0, 210.0, 22.1, 0.207, 21.0, 0.0], [6.0, 0.0, 68.0, 41.0, 0.0, 39.0, 0.727, 41.0, 1.0], [1.0, 95.0, 74.0, 21.0, 73.0, 25.9, 0.673, 36.0, 0.0], [4.0, 90.0, 0.0, 0.0, 0.0, 28.0, 0.61, 31.0, 0.0], [2.0, 144.0, 58.0, 33.0, 135.0, 31.6, 0.422, 25.0, 1.0], [8.0, 194.0, 80.0, 0.0, 0.0, 26.1, 0.551, 67.0, 0.0], [3.0, 78.0, 70.0, 0.0, 0.0, 32.5, 0.27, 39.0, 0.0], [1.0, 81.0, 72.0, 18.0, 40.0, 26.6, 0.283, 24.0, 0.0], [2.0, 108.0, 64.0, 0.0, 0.0, 30.8, 0.158, 21.0, 0.0], [1.0, 130.0, 70.0, 13.0, 105.0, 25.9, 0.472, 22.0, 0.0], [7.0, 94.0, 64.0, 25.0, 79.0, 33.3, 0.738, 41.0, 0.0], [4.0, 116.0, 72.0, 12.0, 87.0, 22.1, 0.463, 37.0, 0.0], [1.0, 100.0, 66.0, 29.0, 196.0, 32.0, 0.444, 42.0, 0.0], [3.0, 106.0, 54.0, 21.0, 158.0, 30.9, 0.292, 24.0, 0.0], [12.0, 121.0, 78.0, 17.0, 0.0, 26.5, 0.259, 62.0, 0.0], [4.0, 110.0, 92.0, 0.0, 0.0, 37.6, 0.191, 30.0, 0.0], [2.0, 109.0, 92.0, 0.0, 0.0, 42.7, 0.845, 54.0, 0.0], [2.0, 101.0, 58.0, 35.0, 90.0, 21.8, 0.155, 22.0, 0.0], [10.0, 115.0, 0.0, 0.0, 0.0, 35.3, 0.134, 29.0, 0.0], [3.0, 122.0, 78.0, 0.0, 0.0, 23.0, 0.254, 40.0, 0.0], [2.0, 124.0, 68.0, 28.0, 205.0, 32.9, 0.875, 30.0, 1.0], [4.0, 145.0, 82.0, 18.0, 0.0, 32.5, 0.235, 70.0, 1.0], [0.0, 125.0, 96.0, 0.0, 0.0, 22.5, 0.262, 21.0, 0.0], [0.0, 102.0, 78.0, 40.0, 90.0, 34.5, 0.238, 24.0, 0.0], [1.0, 101.0, 50.0, 15.0, 36.0, 24.2, 0.526, 26.0, 0.0], [9.0, 72.0, 78.0, 25.0, 0.0, 31.6, 0.28, 38.0, 0.0], [1.0, 181.0, 78.0, 42.0, 293.0, 40.0, 1.258, 22.0, 1.0], [4.0, 189.0, 110.0, 31.0, 0.0, 28.5, 0.68, 37.0, 0.0], [2.0, 130.0, 96.0, 0.0, 0.0, 22.6, 0.268, 21.0, 0.0], [5.0, 104.0, 74.0, 0.0, 0.0, 28.8, 0.153, 48.0, 0.0], [0.0, 101.0, 65.0, 28.0, 0.0, 24.6, 0.237, 22.0, 0.0], [10.0, 161.0, 68.0, 23.0, 132.0, 25.5, 0.326, 47.0, 1.0], [4.0, 95.0, 64.0, 0.0, 0.0, 32.0, 0.161, 31.0, 1.0], [2.0, 105.0, 75.0, 0.0, 0.0, 23.3, 0.56, 53.0, 0.0], [1.0, 111.0, 94.0, 0.0, 0.0, 32.8, 0.265, 45.0, 0.0], [1.0, 0.0, 48.0, 20.0, 0.0, 24.7, 0.14, 22.0, 0.0], [0.0, 93.0, 60.0, 0.0, 0.0, 35.3, 0.263, 25.0, 0.0], [0.0, 57.0, 60.0, 0.0, 0.0, 21.7, 0.735, 67.0, 0.0], [3.0, 108.0, 62.0, 24.0, 0.0, 26.0, 0.223, 25.0, 0.0], [4.0, 125.0, 70.0, 18.0, 122.0, 28.9, 1.144, 45.0, 1.0], [7.0, 136.0, 74.0, 26.0, 135.0, 26.0, 0.647, 51.0, 0.0], [1.0, 111.0, 86.0, 19.0, 0.0, 30.1, 0.143, 23.0, 0.0], [3.0, 130.0, 64.0, 0.0, 0.0, 23.1, 0.314, 22.0, 0.0], [2.0, 120.0, 76.0, 37.0, 105.0, 39.7, 0.215, 29.0, 0.0], [10.0, 122.0, 78.0, 31.0, 0.0, 27.6, 0.512, 45.0, 0.0], [6.0, 165.0, 68.0, 26.0, 168.0, 33.6, 0.631, 49.0, 0.0], [2.0, 122.0, 60.0, 18.0, 106.0, 29.8, 0.717, 22.0, 0.0], [5.0, 128.0, 80.0, 0.0, 0.0, 34.6, 0.144, 45.0, 0.0], [8.0, 118.0, 72.0, 19.0, 0.0, 23.1, 1.476, 46.0, 0.0], [5.0, 116.0, 74.0, 0.0, 0.0, 25.6, 0.201, 30.0, 0.0], [2.0, 112.0, 75.0, 32.0, 0.0, 35.7, 0.148, 21.0, 0.0], [1.0, 180.0, 0.0, 0.0, 0.0, 43.3, 0.282, 41.0, 1.0], [1.0, 103.0, 80.0, 11.0, 82.0, 19.4, 0.491, 22.0, 0.0], [2.0, 123.0, 48.0, 32.0, 165.0, 42.1, 0.52, 26.0, 0.0], [9.0, 145.0, 88.0, 34.0, 165.0, 30.3, 0.771, 53.0, 1.0], [4.0, 110.0, 76.0, 20.0, 100.0, 28.4, 0.118, 27.0, 0.0], [8.0, 95.0, 72.0, 0.0, 0.0, 36.8, 0.485, 57.0, 0.0], [2.0, 100.0, 66.0, 20.0, 90.0, 32.9, 0.867, 28.0, 1.0], [3.0, 116.0, 74.0, 15.0, 105.0, 26.3, 0.107, 24.0, 0.0], [2.0, 174.0, 88.0, 37.0, 120.0, 44.5, 0.646, 24.0, 1.0], [11.0, 111.0, 84.0, 40.0, 0.0, 46.8, 0.925, 45.0, 1.0], [1.0, 84.0, 64.0, 23.0, 115.0, 36.9, 0.471, 28.0, 0.0], [1.0, 126.0, 60.0, 0.0, 0.0, 30.1, 0.349, 47.0, 1.0], [1.0, 109.0, 60.0, 8.0, 182.0, 25.4, 0.947, 21.0, 0.0], [7.0, 195.0, 70.0, 33.0, 145.0, 25.1, 0.163, 55.0, 1.0], [1.0, 117.0, 60.0, 23.0, 106.0, 33.8, 0.466, 27.0, 0.0], [1.0, 95.0, 66.0, 13.0, 38.0, 19.6, 0.334, 25.0, 0.0], [13.0, 152.0, 90.0, 33.0, 29.0, 26.8, 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0.247, 66.0, 0.0], [10.0, 94.0, 72.0, 18.0, 0.0, 23.1, 0.595, 56.0, 0.0], [5.0, 115.0, 76.0, 0.0, 0.0, 31.2, 0.343, 44.0, 1.0], [2.0, 112.0, 86.0, 42.0, 160.0, 38.4, 0.246, 28.0, 0.0], [3.0, 80.0, 0.0, 0.0, 0.0, 0.0, 0.174, 22.0, 0.0], [4.0, 95.0, 70.0, 32.0, 0.0, 32.1, 0.612, 24.0, 0.0], [3.0, 176.0, 86.0, 27.0, 156.0, 33.3, 1.154, 52.0, 1.0], [0.0, 161.0, 50.0, 0.0, 0.0, 21.9, 0.254, 65.0, 0.0], [0.0, 117.0, 66.0, 31.0, 188.0, 30.8, 0.493, 22.0, 0.0], [1.0, 114.0, 66.0, 36.0, 200.0, 38.1, 0.289, 21.0, 0.0], [7.0, 133.0, 88.0, 15.0, 155.0, 32.4, 0.262, 37.0, 0.0], [8.0, 120.0, 0.0, 0.0, 0.0, 30.0, 0.183, 38.0, 1.0], [11.0, 85.0, 74.0, 0.0, 0.0, 30.1, 0.3, 35.0, 0.0], [0.0, 131.0, 66.0, 40.0, 0.0, 34.3, 0.196, 22.0, 1.0], [2.0, 108.0, 62.0, 10.0, 278.0, 25.3, 0.881, 22.0, 0.0], [1.0, 73.0, 50.0, 10.0, 0.0, 23.0, 0.248, 21.0, 0.0], [5.0, 78.0, 48.0, 0.0, 0.0, 33.7, 0.654, 25.0, 0.0], [3.0, 170.0, 64.0, 37.0, 225.0, 34.5, 0.356, 30.0, 1.0], [1.0, 71.0, 62.0, 0.0, 0.0, 21.8, 0.416, 26.0, 0.0], [5.0, 115.0, 98.0, 0.0, 0.0, 52.9, 0.209, 28.0, 1.0], [2.0, 127.0, 46.0, 21.0, 335.0, 34.4, 0.176, 22.0, 0.0], [2.0, 142.0, 82.0, 18.0, 64.0, 24.7, 0.761, 21.0, 0.0], [3.0, 99.0, 80.0, 11.0, 64.0, 19.3, 0.284, 30.0, 0.0], [2.0, 129.0, 74.0, 26.0, 205.0, 33.2, 0.591, 25.0, 0.0], [6.0, 147.0, 80.0, 0.0, 0.0, 29.5, 0.178, 50.0, 1.0], [4.0, 144.0, 82.0, 32.0, 0.0, 38.5, 0.554, 37.0, 1.0], [5.0, 77.0, 82.0, 41.0, 42.0, 35.8, 0.156, 35.0, 0.0], [9.0, 171.0, 110.0, 24.0, 240.0, 45.4, 0.721, 54.0, 1.0], [1.0, 133.0, 102.0, 28.0, 140.0, 32.8, 0.234, 45.0, 1.0], [1.0, 88.0, 30.0, 42.0, 99.0, 55.0, 0.496, 26.0, 1.0], [2.0, 106.0, 64.0, 35.0, 119.0, 30.5, 1.4, 34.0, 0.0], [5.0, 116.0, 74.0, 29.0, 0.0, 32.3, 0.66, 35.0, 1.0], [2.0, 99.0, 70.0, 16.0, 44.0, 20.4, 0.235, 27.0, 0.0], [7.0, 187.0, 50.0, 33.0, 392.0, 33.9, 0.826, 34.0, 1.0], [1.0, 118.0, 58.0, 36.0, 94.0, 33.3, 0.261, 23.0, 0.0], [1.0, 117.0, 88.0, 24.0, 145.0, 34.5, 0.403, 40.0, 1.0], [13.0, 145.0, 82.0, 19.0, 110.0, 22.2, 0.245, 57.0, 0.0], [8.0, 65.0, 72.0, 23.0, 0.0, 32.0, 0.6, 42.0, 0.0], [11.0, 138.0, 74.0, 26.0, 144.0, 36.1, 0.557, 50.0, 1.0]] and test with [[6.0, 148.0, 72.0, 35.0, 0.0, 33.6, 0.627, 50.0, 1.0], [1.0, 85.0, 66.0, 29.0, 0.0, 26.6, 0.351, 31.0, 0.0], [8.0, 183.0, 64.0, 0.0, 0.0, 23.3, 0.672, 32.0, 1.0], [1.0, 89.0, 66.0, 23.0, 94.0, 28.1, 0.167, 21.0, 0.0], [0.0, 137.0, 40.0, 35.0, 168.0, 43.1, 2.288, 33.0, 1.0], [3.0, 78.0, 50.0, 32.0, 88.0, 31.0, 0.248, 26.0, 1.0], [0.0, 118.0, 84.0, 47.0, 230.0, 45.8, 0.551, 31.0, 1.0], [7.0, 107.0, 74.0, 0.0, 0.0, 29.6, 0.254, 31.0, 1.0], [1.0, 103.0, 30.0, 38.0, 83.0, 43.3, 0.183, 33.0, 0.0], [1.0, 115.0, 70.0, 30.0, 96.0, 34.6, 0.529, 32.0, 1.0], [3.0, 126.0, 88.0, 41.0, 235.0, 39.3, 0.704, 27.0, 0.0], [8.0, 99.0, 84.0, 0.0, 0.0, 35.4, 0.388, 50.0, 0.0], [7.0, 196.0, 90.0, 0.0, 0.0, 39.8, 0.451, 41.0, 1.0], [9.0, 119.0, 80.0, 35.0, 0.0, 29.0, 0.263, 29.0, 1.0], [11.0, 143.0, 94.0, 33.0, 146.0, 36.6, 0.254, 51.0, 1.0], [10.0, 125.0, 70.0, 26.0, 115.0, 31.1, 0.205, 41.0, 1.0], [5.0, 109.0, 75.0, 26.0, 0.0, 36.0, 0.546, 60.0, 0.0], [3.0, 88.0, 58.0, 11.0, 54.0, 24.8, 0.267, 22.0, 0.0], [6.0, 92.0, 92.0, 0.0, 0.0, 19.9, 0.188, 28.0, 0.0], [4.0, 103.0, 60.0, 33.0, 192.0, 24.0, 0.966, 33.0, 0.0], [11.0, 138.0, 76.0, 0.0, 0.0, 33.2, 0.42, 35.0, 0.0], [9.0, 102.0, 76.0, 37.0, 0.0, 32.9, 0.665, 46.0, 1.0], [2.0, 90.0, 68.0, 42.0, 0.0, 38.2, 0.503, 27.0, 1.0], [3.0, 180.0, 64.0, 25.0, 70.0, 34.0, 0.271, 26.0, 0.0], [7.0, 159.0, 64.0, 0.0, 0.0, 27.4, 0.294, 40.0, 0.0], [0.0, 180.0, 66.0, 39.0, 0.0, 42.0, 1.893, 25.0, 1.0], [1.0, 146.0, 56.0, 0.0, 0.0, 29.7, 0.564, 29.0, 0.0], [7.0, 103.0, 66.0, 32.0, 0.0, 39.1, 0.344, 31.0, 1.0], [7.0, 105.0, 0.0, 0.0, 0.0, 0.0, 0.305, 24.0, 0.0], [5.0, 88.0, 66.0, 21.0, 23.0, 24.4, 0.342, 30.0, 0.0], [8.0, 176.0, 90.0, 34.0, 300.0, 33.7, 0.467, 58.0, 1.0], [7.0, 150.0, 66.0, 42.0, 342.0, 34.7, 0.718, 42.0, 0.0], [7.0, 187.0, 68.0, 39.0, 304.0, 37.7, 0.254, 41.0, 1.0], [0.0, 105.0, 64.0, 41.0, 142.0, 41.5, 0.173, 22.0, 0.0], [2.0, 84.0, 0.0, 0.0, 0.0, 0.0, 0.304, 21.0, 0.0], [5.0, 44.0, 62.0, 0.0, 0.0, 25.0, 0.587, 36.0, 0.0], [2.0, 141.0, 58.0, 34.0, 128.0, 25.4, 0.699, 24.0, 0.0], [7.0, 114.0, 66.0, 0.0, 0.0, 32.8, 0.258, 42.0, 1.0], [0.0, 109.0, 88.0, 30.0, 0.0, 32.5, 0.855, 38.0, 1.0], [4.0, 146.0, 85.0, 27.0, 100.0, 28.9, 0.189, 27.0, 0.0], [13.0, 126.0, 90.0, 0.0, 0.0, 43.4, 0.583, 42.0, 1.0], [7.0, 62.0, 78.0, 0.0, 0.0, 32.6, 0.391, 41.0, 0.0], [5.0, 95.0, 72.0, 33.0, 0.0, 37.7, 0.37, 27.0, 0.0], [0.0, 131.0, 0.0, 0.0, 0.0, 43.2, 0.27, 26.0, 1.0], [7.0, 83.0, 78.0, 26.0, 71.0, 29.3, 0.767, 36.0, 0.0], [5.0, 137.0, 108.0, 0.0, 0.0, 48.8, 0.227, 37.0, 1.0], [2.0, 110.0, 74.0, 29.0, 125.0, 32.4, 0.698, 27.0, 0.0], [13.0, 106.0, 72.0, 54.0, 0.0, 36.6, 0.178, 45.0, 0.0], [2.0, 100.0, 68.0, 25.0, 71.0, 38.5, 0.324, 26.0, 0.0], [1.0, 107.0, 68.0, 19.0, 0.0, 26.5, 0.165, 24.0, 0.0], [7.0, 81.0, 78.0, 40.0, 48.0, 46.7, 0.261, 42.0, 0.0], [4.0, 134.0, 72.0, 0.0, 0.0, 23.8, 0.277, 60.0, 1.0], [1.0, 151.0, 60.0, 0.0, 0.0, 26.1, 0.179, 22.0, 0.0], [4.0, 144.0, 58.0, 28.0, 140.0, 29.5, 0.287, 37.0, 0.0], [3.0, 83.0, 58.0, 31.0, 18.0, 34.3, 0.336, 25.0, 0.0], [0.0, 95.0, 85.0, 25.0, 36.0, 37.4, 0.247, 24.0, 1.0], [3.0, 171.0, 72.0, 33.0, 135.0, 33.3, 0.199, 24.0, 1.0], [1.0, 89.0, 76.0, 34.0, 37.0, 31.2, 0.192, 23.0, 0.0], [4.0, 76.0, 62.0, 0.0, 0.0, 34.0, 0.391, 25.0, 0.0], [7.0, 160.0, 54.0, 32.0, 175.0, 30.5, 0.588, 39.0, 1.0], [4.0, 97.0, 60.0, 23.0, 0.0, 28.2, 0.443, 22.0, 0.0], [4.0, 99.0, 76.0, 15.0, 51.0, 23.2, 0.223, 21.0, 0.0], [0.0, 162.0, 76.0, 56.0, 100.0, 53.2, 0.759, 25.0, 1.0], [6.0, 111.0, 64.0, 39.0, 0.0, 34.2, 0.26, 24.0, 0.0], [2.0, 107.0, 74.0, 30.0, 100.0, 33.6, 0.404, 23.0, 0.0], [0.0, 113.0, 76.0, 0.0, 0.0, 33.3, 0.278, 23.0, 1.0], [0.0, 105.0, 84.0, 0.0, 0.0, 27.9, 0.741, 62.0, 1.0], [4.0, 173.0, 70.0, 14.0, 168.0, 29.7, 0.361, 33.0, 1.0], [9.0, 122.0, 56.0, 0.0, 0.0, 33.3, 1.114, 33.0, 1.0], [2.0, 96.0, 68.0, 13.0, 49.0, 21.1, 0.647, 26.0, 0.0], [2.0, 125.0, 60.0, 20.0, 140.0, 33.8, 0.088, 31.0, 0.0], [0.0, 100.0, 70.0, 26.0, 50.0, 30.8, 0.597, 21.0, 0.0], [5.0, 105.0, 72.0, 29.0, 325.0, 36.9, 0.159, 28.0, 0.0], [2.0, 108.0, 52.0, 26.0, 63.0, 32.5, 0.318, 22.0, 0.0], [10.0, 108.0, 66.0, 0.0, 0.0, 32.4, 0.272, 42.0, 1.0], [4.0, 154.0, 62.0, 31.0, 284.0, 32.8, 0.237, 23.0, 0.0], [0.0, 102.0, 75.0, 23.0, 0.0, 0.0, 0.572, 21.0, 0.0], [5.0, 147.0, 78.0, 0.0, 0.0, 33.7, 0.218, 65.0, 0.0], [2.0, 90.0, 70.0, 17.0, 0.0, 27.3, 0.085, 22.0, 0.0], [1.0, 136.0, 74.0, 50.0, 204.0, 37.4, 0.399, 24.0, 0.0], [4.0, 114.0, 65.0, 0.0, 0.0, 21.9, 0.432, 37.0, 0.0], [9.0, 156.0, 86.0, 28.0, 155.0, 34.3, 1.189, 42.0, 1.0], [1.0, 153.0, 82.0, 42.0, 485.0, 40.6, 0.687, 23.0, 0.0], [8.0, 188.0, 78.0, 0.0, 0.0, 47.9, 0.137, 43.0, 1.0], [7.0, 152.0, 88.0, 44.0, 0.0, 50.0, 0.337, 36.0, 1.0], [4.0, 151.0, 90.0, 38.0, 0.0, 29.7, 0.294, 36.0, 0.0], [0.0, 131.0, 88.0, 0.0, 0.0, 31.6, 0.743, 32.0, 1.0], [3.0, 148.0, 66.0, 25.0, 0.0, 32.5, 0.256, 22.0, 0.0], [4.0, 120.0, 68.0, 0.0, 0.0, 29.6, 0.709, 34.0, 0.0], [3.0, 111.0, 90.0, 12.0, 78.0, 28.4, 0.495, 29.0, 0.0], [2.0, 87.0, 0.0, 23.0, 0.0, 28.9, 0.773, 25.0, 0.0], [1.0, 79.0, 60.0, 42.0, 48.0, 43.5, 0.678, 23.0, 0.0], [5.0, 143.0, 78.0, 0.0, 0.0, 45.0, 0.19, 47.0, 0.0], [5.0, 130.0, 82.0, 0.0, 0.0, 39.1, 0.956, 37.0, 1.0], [0.0, 119.0, 64.0, 18.0, 92.0, 34.9, 0.725, 23.0, 0.0], [1.0, 0.0, 74.0, 20.0, 23.0, 27.7, 0.299, 21.0, 0.0], [5.0, 73.0, 60.0, 0.0, 0.0, 26.8, 0.268, 27.0, 0.0], [7.0, 194.0, 68.0, 28.0, 0.0, 35.9, 0.745, 41.0, 1.0], [8.0, 181.0, 68.0, 36.0, 495.0, 30.1, 0.615, 60.0, 1.0], [1.0, 128.0, 98.0, 41.0, 58.0, 32.0, 1.321, 33.0, 1.0], [8.0, 109.0, 76.0, 39.0, 114.0, 27.9, 0.64, 31.0, 1.0], [5.0, 139.0, 80.0, 35.0, 160.0, 31.6, 0.361, 25.0, 1.0], [3.0, 111.0, 62.0, 0.0, 0.0, 22.6, 0.142, 21.0, 0.0], [9.0, 123.0, 70.0, 44.0, 94.0, 33.1, 0.374, 40.0, 0.0], [11.0, 135.0, 0.0, 0.0, 0.0, 52.3, 0.578, 40.0, 1.0], [8.0, 85.0, 55.0, 20.0, 0.0, 24.4, 0.136, 42.0, 0.0], [4.0, 148.0, 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[6.0, 154.0, 74.0, 32.0, 193.0, 29.3, 0.839, 39.0, 0.0], [2.0, 117.0, 90.0, 19.0, 71.0, 25.2, 0.313, 21.0, 0.0], [3.0, 96.0, 78.0, 39.0, 0.0, 37.3, 0.238, 40.0, 0.0], [1.0, 130.0, 60.0, 23.0, 170.0, 28.6, 0.692, 21.0, 0.0], [2.0, 84.0, 50.0, 23.0, 76.0, 30.4, 0.968, 21.0, 0.0], [8.0, 120.0, 78.0, 0.0, 0.0, 25.0, 0.409, 64.0, 0.0], [12.0, 84.0, 72.0, 31.0, 0.0, 29.7, 0.297, 46.0, 1.0], [9.0, 91.0, 68.0, 0.0, 0.0, 24.2, 0.2, 58.0, 0.0], [2.0, 91.0, 62.0, 0.0, 0.0, 27.3, 0.525, 22.0, 0.0], [3.0, 99.0, 54.0, 19.0, 86.0, 25.6, 0.154, 24.0, 0.0], [3.0, 163.0, 70.0, 18.0, 105.0, 31.6, 0.268, 28.0, 1.0], [13.0, 76.0, 60.0, 0.0, 0.0, 32.8, 0.18, 41.0, 0.0], [6.0, 129.0, 90.0, 7.0, 326.0, 19.6, 0.582, 60.0, 0.0], [2.0, 68.0, 70.0, 32.0, 66.0, 25.0, 0.187, 25.0, 0.0], [3.0, 124.0, 80.0, 33.0, 130.0, 33.2, 0.305, 26.0, 0.0], [6.0, 114.0, 0.0, 0.0, 0.0, 0.0, 0.189, 26.0, 0.0], [9.0, 130.0, 70.0, 0.0, 0.0, 34.2, 0.652, 45.0, 1.0], [3.0, 87.0, 60.0, 18.0, 0.0, 21.8, 0.444, 21.0, 0.0], [1.0, 97.0, 64.0, 19.0, 82.0, 18.2, 0.299, 21.0, 0.0], [0.0, 111.0, 65.0, 0.0, 0.0, 24.6, 0.66, 31.0, 0.0], [0.0, 107.0, 76.0, 0.0, 0.0, 45.3, 0.686, 24.0, 0.0], [1.0, 86.0, 66.0, 52.0, 65.0, 41.3, 0.917, 29.0, 0.0], [6.0, 91.0, 0.0, 0.0, 0.0, 29.8, 0.501, 31.0, 0.0], [1.0, 77.0, 56.0, 30.0, 56.0, 33.3, 1.251, 24.0, 0.0], [4.0, 132.0, 0.0, 0.0, 0.0, 32.9, 0.302, 23.0, 1.0], [0.0, 105.0, 90.0, 0.0, 0.0, 29.6, 0.197, 46.0, 0.0], [0.0, 127.0, 80.0, 37.0, 210.0, 36.3, 0.804, 23.0, 0.0], [3.0, 128.0, 72.0, 25.0, 190.0, 32.4, 0.549, 27.0, 1.0], [10.0, 90.0, 85.0, 32.0, 0.0, 34.9, 0.825, 56.0, 1.0], [1.0, 88.0, 78.0, 29.0, 76.0, 32.0, 0.365, 29.0, 0.0], [8.0, 186.0, 90.0, 35.0, 225.0, 34.5, 0.423, 37.0, 1.0], [1.0, 164.0, 82.0, 43.0, 67.0, 32.8, 0.341, 50.0, 0.0], [1.0, 116.0, 70.0, 28.0, 0.0, 27.4, 0.204, 21.0, 0.0], [3.0, 84.0, 68.0, 30.0, 106.0, 31.9, 0.591, 25.0, 0.0], [7.0, 124.0, 70.0, 33.0, 215.0, 25.5, 0.161, 37.0, 0.0], [1.0, 97.0, 70.0, 40.0, 0.0, 38.1, 0.218, 30.0, 0.0], [8.0, 110.0, 76.0, 0.0, 0.0, 27.8, 0.237, 58.0, 0.0], [11.0, 103.0, 68.0, 40.0, 0.0, 46.2, 0.126, 42.0, 0.0], [6.0, 125.0, 76.0, 0.0, 0.0, 33.8, 0.121, 54.0, 1.0], [1.0, 87.0, 68.0, 34.0, 77.0, 37.6, 0.401, 24.0, 0.0], [6.0, 99.0, 60.0, 19.0, 54.0, 26.9, 0.497, 32.0, 0.0], [0.0, 91.0, 80.0, 0.0, 0.0, 32.4, 0.601, 27.0, 0.0], [6.0, 92.0, 62.0, 32.0, 126.0, 32.0, 0.085, 46.0, 0.0], [4.0, 154.0, 72.0, 29.0, 126.0, 31.3, 0.338, 37.0, 0.0], [0.0, 121.0, 66.0, 30.0, 165.0, 34.3, 0.203, 33.0, 1.0], [3.0, 111.0, 58.0, 31.0, 44.0, 29.5, 0.43, 22.0, 0.0], [2.0, 98.0, 60.0, 17.0, 120.0, 34.7, 0.198, 22.0, 0.0], [1.0, 119.0, 44.0, 47.0, 63.0, 35.5, 0.28, 25.0, 0.0], [2.0, 118.0, 80.0, 0.0, 0.0, 42.9, 0.693, 21.0, 1.0], [10.0, 133.0, 68.0, 0.0, 0.0, 27.0, 0.245, 36.0, 0.0], [2.0, 197.0, 70.0, 99.0, 0.0, 34.7, 0.575, 62.0, 1.0], [0.0, 151.0, 90.0, 46.0, 0.0, 42.1, 0.371, 21.0, 1.0], [8.0, 100.0, 76.0, 0.0, 0.0, 38.7, 0.19, 42.0, 0.0], [8.0, 124.0, 76.0, 24.0, 600.0, 28.7, 0.687, 52.0, 1.0], [1.0, 93.0, 56.0, 11.0, 0.0, 22.5, 0.417, 22.0, 0.0], [8.0, 143.0, 66.0, 0.0, 0.0, 34.9, 0.129, 41.0, 1.0], [6.0, 103.0, 66.0, 0.0, 0.0, 24.3, 0.249, 29.0, 0.0], [2.0, 112.0, 78.0, 50.0, 140.0, 39.4, 0.175, 24.0, 0.0], [3.0, 132.0, 80.0, 0.0, 0.0, 34.4, 0.402, 44.0, 1.0], [6.0, 123.0, 72.0, 45.0, 230.0, 33.6, 0.733, 34.0, 0.0], [0.0, 188.0, 82.0, 14.0, 185.0, 32.0, 0.682, 22.0, 1.0], [0.0, 67.0, 76.0, 0.0, 0.0, 45.3, 0.194, 46.0, 0.0], [1.0, 89.0, 24.0, 19.0, 25.0, 27.8, 0.559, 21.0, 0.0], [1.0, 173.0, 74.0, 0.0, 0.0, 36.8, 0.088, 38.0, 1.0], [1.0, 109.0, 38.0, 18.0, 120.0, 23.1, 0.407, 26.0, 0.0], [7.0, 150.0, 78.0, 29.0, 126.0, 35.2, 0.692, 54.0, 1.0], [1.0, 124.0, 60.0, 32.0, 0.0, 35.8, 0.514, 21.0, 0.0], [0.0, 152.0, 82.0, 39.0, 272.0, 41.5, 0.27, 27.0, 0.0], [3.0, 174.0, 58.0, 22.0, 194.0, 32.9, 0.593, 36.0, 1.0], [3.0, 106.0, 72.0, 0.0, 0.0, 25.8, 0.207, 27.0, 0.0], [2.0, 68.0, 62.0, 13.0, 15.0, 20.1, 0.257, 23.0, 0.0], [9.0, 112.0, 82.0, 24.0, 0.0, 28.2, 1.282, 50.0, 1.0], [0.0, 119.0, 0.0, 0.0, 0.0, 32.4, 0.141, 24.0, 1.0], [2.0, 92.0, 76.0, 20.0, 0.0, 24.2, 1.698, 28.0, 0.0], [6.0, 183.0, 94.0, 0.0, 0.0, 40.8, 1.461, 45.0, 0.0], [0.0, 94.0, 70.0, 27.0, 115.0, 43.5, 0.347, 21.0, 0.0], [4.0, 90.0, 88.0, 47.0, 54.0, 37.7, 0.362, 29.0, 0.0], [4.0, 94.0, 65.0, 22.0, 0.0, 24.7, 0.148, 21.0, 0.0], [7.0, 114.0, 64.0, 0.0, 0.0, 27.4, 0.732, 34.0, 1.0], [2.0, 111.0, 60.0, 0.0, 0.0, 26.2, 0.343, 23.0, 0.0], [1.0, 128.0, 82.0, 17.0, 183.0, 27.5, 0.115, 22.0, 0.0], [10.0, 92.0, 62.0, 0.0, 0.0, 25.9, 0.167, 31.0, 0.0], [13.0, 104.0, 72.0, 0.0, 0.0, 31.2, 0.465, 38.0, 1.0], [0.0, 102.0, 86.0, 17.0, 105.0, 29.3, 0.695, 27.0, 0.0], [3.0, 103.0, 72.0, 30.0, 152.0, 27.6, 0.73, 27.0, 0.0], [11.0, 136.0, 84.0, 35.0, 130.0, 28.3, 0.26, 42.0, 1.0], [0.0, 107.0, 60.0, 25.0, 0.0, 26.4, 0.133, 23.0, 0.0], [1.0, 91.0, 54.0, 25.0, 100.0, 25.2, 0.234, 23.0, 0.0], [5.0, 123.0, 74.0, 40.0, 77.0, 34.1, 0.269, 28.0, 0.0], [1.0, 106.0, 70.0, 28.0, 135.0, 34.2, 0.142, 22.0, 0.0], [2.0, 155.0, 52.0, 27.0, 540.0, 38.7, 0.24, 25.0, 1.0], [1.0, 120.0, 80.0, 48.0, 200.0, 38.9, 1.162, 41.0, 0.0], [3.0, 80.0, 82.0, 31.0, 70.0, 34.2, 1.292, 27.0, 1.0], [10.0, 162.0, 84.0, 0.0, 0.0, 27.7, 0.182, 54.0, 0.0], [9.0, 145.0, 80.0, 46.0, 130.0, 37.9, 0.637, 40.0, 1.0], [1.0, 112.0, 80.0, 45.0, 132.0, 34.8, 0.217, 24.0, 0.0], [1.0, 99.0, 58.0, 10.0, 0.0, 25.4, 0.551, 21.0, 0.0], [8.0, 91.0, 82.0, 0.0, 0.0, 35.6, 0.587, 68.0, 0.0], [6.0, 195.0, 70.0, 0.0, 0.0, 30.9, 0.328, 31.0, 1.0], [9.0, 156.0, 86.0, 0.0, 0.0, 24.8, 0.23, 53.0, 1.0], [2.0, 56.0, 56.0, 28.0, 45.0, 24.2, 0.332, 22.0, 0.0], [0.0, 95.0, 64.0, 39.0, 105.0, 44.6, 0.366, 22.0, 0.0], [1.0, 107.0, 50.0, 19.0, 0.0, 28.3, 0.181, 29.0, 0.0], [1.0, 144.0, 82.0, 46.0, 180.0, 46.1, 0.335, 46.0, 1.0], [8.0, 107.0, 80.0, 0.0, 0.0, 24.6, 0.856, 34.0, 0.0], [13.0, 158.0, 114.0, 0.0, 0.0, 42.3, 0.257, 44.0, 1.0], [2.0, 121.0, 70.0, 32.0, 95.0, 39.1, 0.886, 23.0, 0.0], [2.0, 90.0, 60.0, 0.0, 0.0, 23.5, 0.191, 25.0, 0.0], [3.0, 169.0, 74.0, 19.0, 125.0, 29.9, 0.268, 31.0, 1.0], [0.0, 99.0, 0.0, 0.0, 0.0, 25.0, 0.253, 22.0, 0.0], [4.0, 127.0, 88.0, 11.0, 155.0, 34.5, 0.598, 28.0, 0.0], [4.0, 118.0, 70.0, 0.0, 0.0, 44.5, 0.904, 26.0, 0.0], [2.0, 122.0, 76.0, 27.0, 200.0, 35.9, 0.483, 26.0, 0.0], [6.0, 125.0, 78.0, 31.0, 0.0, 27.6, 0.565, 49.0, 1.0], [2.0, 129.0, 0.0, 0.0, 0.0, 38.5, 0.304, 41.0, 0.0], [6.0, 80.0, 80.0, 36.0, 0.0, 39.8, 0.177, 28.0, 0.0], [10.0, 115.0, 0.0, 0.0, 0.0, 0.0, 0.261, 30.0, 1.0], [9.0, 164.0, 78.0, 0.0, 0.0, 32.8, 0.148, 45.0, 1.0], [2.0, 93.0, 64.0, 32.0, 160.0, 38.0, 0.674, 23.0, 1.0], [3.0, 158.0, 64.0, 13.0, 387.0, 31.2, 0.295, 24.0, 0.0], [5.0, 126.0, 78.0, 27.0, 22.0, 29.6, 0.439, 40.0, 0.0], [10.0, 129.0, 62.0, 36.0, 0.0, 41.2, 0.441, 38.0, 1.0], [0.0, 134.0, 58.0, 20.0, 291.0, 26.4, 0.352, 21.0, 0.0], [3.0, 173.0, 78.0, 39.0, 185.0, 33.8, 0.97, 31.0, 1.0], [1.0, 108.0, 60.0, 46.0, 178.0, 35.5, 0.415, 24.0, 0.0], [4.0, 83.0, 86.0, 19.0, 0.0, 29.3, 0.317, 34.0, 0.0], [4.0, 112.0, 78.0, 40.0, 0.0, 39.4, 0.236, 38.0, 0.0], [1.0, 116.0, 78.0, 29.0, 180.0, 36.1, 0.496, 25.0, 0.0], [0.0, 141.0, 84.0, 26.0, 0.0, 32.4, 0.433, 22.0, 0.0], [2.0, 175.0, 88.0, 0.0, 0.0, 22.9, 0.326, 22.0, 0.0], [2.0, 92.0, 52.0, 0.0, 0.0, 30.1, 0.141, 22.0, 0.0], [2.0, 106.0, 56.0, 27.0, 165.0, 29.0, 0.426, 22.0, 0.0], [0.0, 126.0, 86.0, 27.0, 120.0, 27.4, 0.515, 21.0, 0.0], [2.0, 99.0, 60.0, 17.0, 160.0, 36.6, 0.453, 21.0, 0.0], [1.0, 102.0, 74.0, 0.0, 0.0, 39.5, 0.293, 42.0, 1.0], [3.0, 102.0, 44.0, 20.0, 94.0, 30.8, 0.4, 26.0, 0.0], [1.0, 109.0, 58.0, 18.0, 116.0, 28.5, 0.219, 22.0, 0.0], [9.0, 140.0, 94.0, 0.0, 0.0, 32.7, 0.734, 45.0, 1.0], [13.0, 153.0, 88.0, 37.0, 140.0, 40.6, 1.174, 39.0, 0.0], [1.0, 147.0, 94.0, 41.0, 0.0, 49.3, 0.358, 27.0, 1.0], [6.0, 162.0, 62.0, 0.0, 0.0, 24.3, 0.178, 50.0, 1.0], [4.0, 136.0, 70.0, 0.0, 0.0, 31.2, 1.182, 22.0, 1.0], [1.0, 121.0, 78.0, 39.0, 74.0, 39.0, 0.261, 28.0, 0.0], [0.0, 181.0, 88.0, 44.0, 510.0, 43.3, 0.222, 26.0, 1.0], [1.0, 128.0, 88.0, 39.0, 110.0, 36.5, 1.057, 37.0, 1.0], [7.0, 137.0, 90.0, 41.0, 0.0, 32.0, 0.391, 39.0, 0.0], [0.0, 123.0, 72.0, 0.0, 0.0, 36.3, 0.258, 52.0, 1.0], [1.0, 106.0, 76.0, 0.0, 0.0, 37.5, 0.197, 26.0, 0.0], [6.0, 190.0, 92.0, 0.0, 0.0, 35.5, 0.278, 66.0, 1.0], [2.0, 88.0, 58.0, 26.0, 16.0, 28.4, 0.766, 22.0, 0.0], [9.0, 89.0, 62.0, 0.0, 0.0, 22.5, 0.142, 33.0, 0.0], [5.0, 121.0, 72.0, 23.0, 112.0, 26.2, 0.245, 30.0, 0.0]]\n"
     ]
    }
   ],
   "source": [
    "\n",
    "splitRatio = 0.45\n",
    "train, test = splitDataset(dataset, splitRatio)\n",
    "print('Split {0} rows into train with {1} and test with {2}'.format(len(dataset), train, test))\n",
    "\n",
    "print(train)\n",
    "print(test)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "#2. Summarize Data\n",
    "#1. Seperate Data By Class\n",
    "#2. Calculate Mean\n",
    "#3. Calculate Standard Deviation\n",
    "#4. Summarize Dataset\n",
    "#5. Summarize Attribute By Class\n",
    "\n",
    "def seperateByClass(dataset):\n",
    "    separated = {}\n",
    "    for i in range(len(dataset)):\n",
    "        vector = dataset[i]\n",
    "        if(vector[-1] not in separated):\n",
    "            separated[vector[-1]] = []\n",
    "        separated[vector[-1]].append(vector)\n",
    "    return separated"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Separated instance:  {1: [[1, 20, 1], [3, 22, 1]], 0: [[2, 21, 0]]}\n"
     ]
    }
   ],
   "source": [
    "dataset = [[1, 20, 1], [2, 21, 0], [3, 22, 1]]\n",
    "separated = seperateByClass(dataset)\n",
    "print('Separated instance: ',separated)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate Mean\n",
    "import math\n",
    "def mean(numbers):\n",
    "    return sum(numbers)/float(len(numbers))\n",
    "\n",
    "def stdev(numbers):\n",
    "    avg = mean(numbers)\n",
    "    variance = sum([pow(x-avg, 2) for x in numbers])/float(len(numbers)-1)\n",
    "    return math.sqrt(variance)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Summary of [1, 2, 3, 4, 5]: mean=3.0, stdev=1.5811388300841898\n"
     ]
    }
   ],
   "source": [
    "numbers = [1, 2, 3, 4 ,5]\n",
    "print('Summary of {0}: mean={1}, stdev={2}'.format(numbers, mean(numbers), stdev(numbers)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Summarize the Dataset\n",
    "import math\n",
    "def summarize(dataset):\n",
    "    summaries = [(mean(attribute), stdev(attribute)) for attribute in zip(*dataset)]\n",
    "    del summaries[-1]\n",
    "    return summaries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[(2.0, 1.0), (21.0, 1.0)]\n"
     ]
    }
   ],
   "source": [
    "dataset = [[1, 20, 0], [2, 21, 1], [3, 22, 0]]\n",
    "summary = summarize(dataset)\n",
    "print(summary)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Summarize Attributes By Class\n",
    "def summarizeByClass(dataset):\n",
    "    separated = seperateByClass(dataset)\n",
    "    summaries = {}\n",
    "    for classValue, instances in separated.items():\n",
    "        summaries[classValue] = summarize(instances)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "None\n"
     ]
    }
   ],
   "source": [
    "dataset = [[1, 20, 1], [2, 21, 0], [3, 22, 1], [4, 22, 0]]\n",
    "summary = summarizeByClass(dataset)\n",
    "print(summary)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Split 768 rows into train=514 and test=254 rows\n"
     ]
    },
    {
     "ename": "TypeError",
     "evalue": "unsupported operand type(s) for +: 'int' and 'str'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-44-d5cfb8b5ffdf>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m     98\u001b[0m     \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'Accuracy: {0}%'\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0maccuracy\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     99\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 100\u001b[1;33m \u001b[0mmain\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m<ipython-input-44-d5cfb8b5ffdf>\u001b[0m in \u001b[0;36mmain\u001b[1;34m()\u001b[0m\n\u001b[0;32m     92\u001b[0m     \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'Split {0} rows into train={1} and test={2} rows'\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdataset\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtrainingSet\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtestSet\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     93\u001b[0m     \u001b[1;31m# prepare model\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 94\u001b[1;33m     \u001b[0msummaries\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0msummarizeByClass\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtrainingSet\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     95\u001b[0m \u001b[1;31m# test model\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     96\u001b[0m     \u001b[0mpredictions\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mgetPredictions\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msummaries\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtestSet\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m<ipython-input-44-d5cfb8b5ffdf>\u001b[0m in \u001b[0;36msummarizeByClass\u001b[1;34m(dataset)\u001b[0m\n\u001b[0;32m     45\u001b[0m     \u001b[0msummaries\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m{\u001b[0m\u001b[1;33m}\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     46\u001b[0m     \u001b[1;32mfor\u001b[0m \u001b[0mclassValue\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0minstances\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mseparated\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 47\u001b[1;33m         \u001b[0msummaries\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mclassValue\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0msummarize\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minstances\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     48\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0msummaries\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     49\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m<ipython-input-44-d5cfb8b5ffdf>\u001b[0m in \u001b[0;36msummarize\u001b[1;34m(dataset)\u001b[0m\n\u001b[0;32m     37\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     38\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0msummarize\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdataset\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 39\u001b[1;33m     \u001b[0msummaries\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmean\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mattribute\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mstdev\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mattribute\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mattribute\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mzip\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mdataset\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     40\u001b[0m     \u001b[1;32mdel\u001b[0m \u001b[0msummaries\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     41\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0msummaries\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m<ipython-input-44-d5cfb8b5ffdf>\u001b[0m in \u001b[0;36m<listcomp>\u001b[1;34m(.0)\u001b[0m\n\u001b[0;32m     37\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     38\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0msummarize\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdataset\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 39\u001b[1;33m     \u001b[0msummaries\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmean\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mattribute\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mstdev\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mattribute\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mattribute\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mzip\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mdataset\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     40\u001b[0m     \u001b[1;32mdel\u001b[0m \u001b[0msummaries\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     41\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0msummaries\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m<ipython-input-44-d5cfb8b5ffdf>\u001b[0m in \u001b[0;36mmean\u001b[1;34m(numbers)\u001b[0m\n\u001b[0;32m     29\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     30\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mmean\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnumbers\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 31\u001b[1;33m     \u001b[1;32mreturn\u001b[0m \u001b[0msum\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnumbers\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m/\u001b[0m\u001b[0mfloat\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnumbers\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     32\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     33\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mstdev\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnumbers\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mTypeError\u001b[0m: unsupported operand type(s) for +: 'int' and 'str'"
     ]
    }
   ],
   "source": [
    "import csv\n",
    "import random\n",
    "import math\n",
    " \n",
    "def loadCsv(filename):\n",
    "    lines = csv.reader(open(filename, \"r\"))\n",
    "    dataset = list(lines)\n",
    "    for i in range(len(dataset)):\n",
    "        dataset[i] = [float(x) for x in dataset[i]]\n",
    "        return dataset\n",
    "\n",
    "def splitDataset(dataset, splitRatio):\n",
    "    trainSize = int(len(dataset) * splitRatio)\n",
    "    trainSet = []\n",
    "    copy = list(dataset)\n",
    "    while len(trainSet) < trainSize:\n",
    "        index = random.randrange(len(copy))\n",
    "        trainSet.append(copy.pop(index))\n",
    "    return [trainSet, copy]\n",
    " \n",
    "def separateByClass(dataset):\n",
    "    separated = {}\n",
    "    for i in range(len(dataset)):\n",
    "        vector = dataset[i]\n",
    "        if (vector[-1] not in separated):\n",
    "            separated[vector[-1]] = []\n",
    "        separated[vector[-1]].append(vector)\n",
    "    return separated\n",
    " \n",
    "def mean(numbers):\n",
    "    return sum(numbers)/float(len(numbers))\n",
    " \n",
    "def stdev(numbers):\n",
    "    avg = mean(numbers)\n",
    "    variance = sum([pow(x-avg,2) for x in numbers])/float(len(numbers)-1)\n",
    "    return math.sqrt(variance)\n",
    " \n",
    "def summarize(dataset):\n",
    "    summaries = [(mean(attribute), stdev(attribute)) for attribute in zip(*dataset)]\n",
    "    del summaries[-1]\n",
    "    return summaries\n",
    " \n",
    "def summarizeByClass(dataset):\n",
    "    separated = separateByClass(dataset)\n",
    "    summaries = {}\n",
    "    for classValue, instances in separated.items():\n",
    "        summaries[classValue] = summarize(instances)\n",
    "    return summaries\n",
    " \n",
    "def calculateProbability(x, mean, stdev):\n",
    "    exponent = math.exp(-(math.pow(x-mean,2)/(2*math.pow(stdev,2))))\n",
    "    return (1 / (math.sqrt(2*math.pi) * stdev)) * exponent\n",
    " \n",
    "def calculateClassProbabilities(summaries, inputVector):\n",
    "    probabilities = {}\n",
    "    for classValue, classSummaries in summaries.iteritems():\n",
    "        probabilities[classValue] = 1\n",
    "        for i in range(len(classSummaries)):\n",
    "            mean, stdev = classSummaries[i]\n",
    "            x = inputVector[i]\n",
    "            probabilities[classValue] *= calculateProbability(x, mean, stdev)\n",
    "    return probabilities\n",
    "\n",
    "def predict(summaries, inputVector):\n",
    "    probabilities = calculateClassProbabilities(summaries, inputVector)\n",
    "    bestLabel, bestProb = None, -1\n",
    "    for classValue, probability in probabilities.iteritems():\n",
    "        if bestLabel is None or probability > bestProb:\n",
    "            bestProb = probability\n",
    "            bestLabel = classValue\n",
    "    return bestLabel\n",
    " \n",
    "def getPredictions(summaries, testSet):\n",
    "    predictions = []\n",
    "    for i in range(len(testSet)):\n",
    "        result = predict(summaries, testSet[i])\n",
    "        predictions.append(result)\n",
    "    return predictions\n",
    " \n",
    "def getAccuracy(testSet, predictions):\n",
    "    correct = 0\n",
    "    for i in range(len(testSet)):\n",
    "        if testSet[i][-1] == predictions[i]:\n",
    "            correct += 1\n",
    "    return (correct/float(len(testSet))) * 100.0\n",
    " \n",
    "def main():\n",
    "    filename = 'prima_indians_diabetes.csv'\n",
    "    splitRatio = 0.67\n",
    "    dataset = loadCsv(filename)\n",
    "    trainingSet, testSet = splitDataset(dataset, splitRatio)\n",
    "    print('Split {0} rows into train={1} and test={2} rows'.format(len(dataset), len(trainingSet), len(testSet)))\n",
    "    # prepare model\n",
    "    summaries = summarizeByClass(trainingSet)\n",
    "# test model\n",
    "    predictions = getPredictions(summaries, testSet)\n",
    "    accuracy = getAccuracy(testSet, predictions)\n",
    "    print('Accuracy: {0}%'.format(accuracy))\n",
    " \n",
    "main()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# PCA Implementation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Method 1:-\n",
    "from numpy import array\n",
    "from numpy import mean\n",
    "from numpy import cov\n",
    "from numpy.linalg import eig\n",
    "# define a matrix\n",
    "A = array([[1, 2], [3, 4], [5, 6]])\n",
    "#print(A.shape)\n",
    "# calculate the mean of each column\n",
    "M = mean(A.T, axis=1)\n",
    "#print(M)\n",
    "#center columns by subtracting column means\n",
    "C = A - M\n",
    "#print(C)\n",
    "# calculate covariance matrix of centered matrix\n",
    "V = cov(C.T)\n",
    "#print(V)\n",
    "# eigendecomposition of covariance matrix\n",
    "values, vectors = eig(V)\n",
    "#print(vectors)\n",
    "#print(values)\n",
    "# project data\n",
    "P = vectors.T.dot(C.T)\n",
    "print(P.T)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Method 2:-\n",
    "from numpy import array\n",
    "from sklearn.decomposition import PCA\n",
    "# define a matrix\n",
    "A = array([[1, 2], [3, 4], [5, 6]])\n",
    "print(A)\n",
    "# create the PCA instance\n",
    "pca = PCA(2)\n",
    "# fit on data\n",
    "pca.fit(A)\n",
    "# access values and vectors\n",
    "print(pca.components_)\n",
    "print(pca.explained_variance_)\n",
    "# transform data\n",
    "B = pca.transform(A)\n",
    "print(B)"
   ]
  }
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