For elaborated explanation in Hebrew about the project - see 'project.pdf'.
Files description:
adaboost.py - adaboost classifier base_line.py - basic tree classifier data_preprocessor - contains processing functions forest.py - random forest classifier KNN.py - KNN classifier logistic.py - logistic classifier model_selection.py - model evaluation and selection secondary.py - fit a spectral clustering over the data for the crime location prediction task (the second task) chosen_model.pkl - fitted model for the crime classification task (the first task) cluster_dict.pkl - fitted model for the crime location prediction task (the second task) classifier.py - main file
Collaborators: Avishai Elmakies, Zohar Samra, Michael Koblerchick, Noam Ben Sason.