- python3
- pip3
- Jupyter Notebook
$ git clone https://github.com/jio-hw/CSED426_Ensemble.git; cd CSED426_Ensemble
$ pip3 install sklearn pandas numpy jupyter
$ python3 -m jupyter notebook
After above open .ipynb
files.
Parameters in this repository may not a best one.
-
RF_
: I used RandomForestClassifier here. -
GB_
: I used GradientBoostingClassifier here. -
_Do
: This creates resultcsv
file. -
_Test
: This is just for testing purpose. In other words, these files exist for finding optimized classifier parameters.