Repo for EPFL CS-433 Project 1
Files description:
- _sub.csv is the predictions we used to get our best score (0.388 f1 score and 0.863 accuracy)
- _Run_hyperparam_search.ipynb is a jupyter notebook containing code for the hyperparameter search
- _notebook.ipynb is a notebook we used to train, test and tune all parameters, and test different strategies
- _crossval.py is the code for the cross validation
- _helpers.py is the helper file provided to us
- _implementations.py contains all our functions implementations
- _run.py is the python script to generate our best attempt file
- Compare_preprocessing_options.ipynb is the code used for conducting preprocessing option comparison experiment
- Report.pdf is our final report file. Since we are failed to upload our file to submission page, we will be very appreciate if you consider this version.