from sklearn.metrics import recall_score, precision_score, accuracy_score, f1_score

# def metric_am(y_true, y_pred):
#     # return 0.8*recall_score(y_true, y_pred) + 0.2*precision_score(y_true, y_pred)
#     return accuracy_score(y_true, y_pred)

# METRIC=metric_am