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],
