train.py 文件源码

def validate():
    # Load an existing training set
    X_train, y_train = dataset.load_training('data/training.txt')

    # Ten-fold cross-validation with stratified sampling
    cv = StratifiedShuffleSplit(n_splits=10)
    scores = cross_val_score(clf, X_train, y_train, cv=cv)
    print("Accuracy: %0.4f (+/- %0.2f)" % (scores.mean(), scores.std() * 2))