train_sample[13], test_sample[12], M, thresh, CART_step) # 'tr': train; 'te': test; '1': small; '2': large if __name__ == '__main__': rec = [] maxi = [] maxi_M = [] mini = [] mini_M = [] avrg = [] stdv = [] # modify the variant after 'for' for i, thresh in enumerate(hyperrange): filename = setFileName() Log.clearDefaultLog() Log.clearLog(filename) rec.append( run(filename, train_sample, train_label, test_sample, test_label, title, M, thresh, CART_step)) maxi.append(np.max(rec[-1])) mini.append(np.min(rec[-1])) maxi_M.append(np.argmax(rec[-1])) mini_M.append(np.argmin(rec[-1])) avrg.append(np.average(rec[-1])) stdv.append(np.std(rec[-1], ddof=1)) Log.log( filename, 'max: {}; min: {}; max M: {}; min M: {}; avg: {}; std: {}'.format( maxi[-1], mini[-1], maxi_M[-1], mini_M[-1], avrg[-1],