bayes_Trainer.py 文件源码

def cross_validation(self):
        cv = ShuffleSplit(n_splits=5, test_size=0.2, random_state=20)
        scores = cross_val_score(self.clf, self.training_data, self.training_target, cv=cv, scoring='f1_macro')
        print scores
        print("Accuracy: %0.2f (+/- %0.2f)" % (scores.mean(), scores.std() * 2))