Random Forest Classifier

[ijyliu]

Input: all features train and test files. to construct X in the training run you should drop all string variables, and have 'Class', as the y variable. to construct X in the prediction run you should drop all string variables and there should not be a y

Output:

• [x] joblib file of model.
• [x] Excel file containing time to fit/train overall, train and validation accuracies.
• [x] Pickle file of dictionaries of all hyperparameters searched and optimal hyperparameters
• [x] Excel file of predictions - this should be all string columns in all features test + one column called classifier_name + '_Prediction'. Excel file of inference time.

[ijyliu]

@mayanksethi31 please copy and adapt the folder for the logistic regression classifier (just change out the classifier and set some reasonable hyperparameters to search). this can take many hours to run even on the computing cluster im using, so it needs to done soon