Ejemplo n.º 1
0
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")
Ejemplo n.º 2
0
def show(scor='f1'):
    results = datasets.pk_load(RESULTS_FOLDER_PATH, 'results')
    plot.plt_cross_validate_results(results, scor, 'Models ROC')