sklearn cross validation score
from sklearn.model_selection import cross_val_score scores = cross_val_score(classifier_logreg, X_train, y_train, cv = 5, scoring='accuracy') print('Cross-validation scores:{}'.format(scores)) print('Average cross-validation score: {}'.format(scores.mean()))