print labels on confusion matrix

1unique_label = np.unique([y_true, y_pred])
2cmtx = pd.DataFrame(
3    confusion_matrix(y_true, y_pred, labels=unique_label), 
4    index=['true:{:}'.format(x) for x in unique_label], 
5    columns=['pred:{:}'.format(x) for x in unique_label]
6)
7print(cmtx)
8# Output:
9#           pred:no  pred:yes
10# true:no         3         0
11# true:yes        2         1

1import pandas as pd
2cmtx = pd.DataFrame(
3    confusion_matrix(y_true, y_pred, labels=['yes', 'no']), 
4    index=['true:yes', 'true:no'], 
5    columns=['pred:yes', 'pred:no']
6)
7print(cmtx)
8# Output:
9#           pred:yes  pred:no
10# true:yes         1        2
11# true:no          0        3