from sklearn.metrics import f1_score, accuracy_score


def evaluation(y_true, y_pred):
    acc = accuracy_score(y_true, y_pred)
    macrof1 = f1_score(y_true, y_pred, average='macro')
    microf1 = f1_score(y_true, y_pred, average='micro')
    print(f'acc={acc * 100:.4f}%')
    print(f'macro-f1={macrof1:.4f}')
    print(f'micro-f1={microf1:.4f}')
    return acc, macrof1, microf1