def show(): results = datasets.np_load_data(RESULTS_FOLDER_PATH, "results.npy") for result in results: plot.plt_validation_curve(result[2], result[3], result[1], result[0], plot_tile="Validation curve for TOR/NonTor dataset with Decision Tree") result = datasets.pk_load(RESULTS_FOLDER_PATH, "learning_curves") plot.plt_learning_curve(result[0], result[1], result[2], "Learning curve for TOR/NonTor dataset with Decision Tree")
def show(scor='f1'): results = datasets.pk_load(RESULTS_FOLDER_PATH, 'results') plot.plt_cross_validate_results(results, scor, 'Models ROC')