metrics new order k fold

def result(y_pred,y_test,algo,start,end_train,end_predict):
    file.write(algo+",")
    file.write(str(format_decimal(end_train-start))+",")
    file.write(str(format_decimal(end_predict-end_train))+",")
    file.write(str(format_decimal(metrics.accuracy_score(y_test,y_pred)))+",")
    file.write(str(format_decimal(metrics.precision_score(y_test, y_pred, average='weighted')))+",")
    file.write(str(format_decimal(metrics.recall_score(y_test, y_pred, average='weighted')))+",")
    file.write(str(format_decimal(metrics.f1_score(y_test, y_pred, average='weighted')))+",")
    file.write(str(format_decimal(metrics.fbeta_score(y_test, y_pred,average='weighted', beta=0.5)))+",")
    file.write(str(format_decimal(metrics.matthews_corrcoef(y_test, y_pred)))+",")
    file.write(str(format_decimal(metrics.jaccard_score(y_test, y_pred, average='weighted')))+",")
    file.write(str(format_decimal(metrics.cohen_kappa_score(y_test, y_pred)))+",")
    file.write(str(format_decimal(metrics.hamming_loss(y_test, y_pred)))+",")
    file.write(str(format_decimal(metrics.zero_one_loss(y_test, y_pred)))+",")
    file.write(str(format_decimal(metrics.mean_absolute_error(y_test, y_pred)))+",")
    file.write(str(format_decimal(metrics.mean_squared_error(y_test, y_pred)))+",")
    file.write(str(format_decimal(np.sqrt(metrics.mean_squared_error(y_test, y_pred))))+",")
    file.write(str(format_decimal(metrics.balanced_accuracy_score(y_test, y_pred)))+",")
    file.write(str(format_decimal(metrics.explained_variance_score(y_test, y_pred)*100))+"\n")