机器学习-GridSearchCV scoring 参数设置！

分类情况：

‘accuracy’	metrics.accuracy_score
‘average_precision’	metrics.average_precision_score
‘f1’	metrics.f1_score
‘f1_micro’	metrics.f1_score
‘f1_macro’	metrics.f1_score
‘f1_weighted’	metrics.f1_score
‘f1_samples’	metrics.f1_score
‘neg_log_loss’	metrics.log_loss
‘precision’ etc.	metrics.precision_score
‘recall’ etc.	metrics.recall_score
‘roc_auc’	metrics.roc_auc_score

回归情况：

‘neg_mean_absolute_error’	metrics.mean_absolute_error
‘neg_mean_squared_error’	metrics.mean_squared_error
‘neg_median_absolute_error’	metrics.median_absolute_error
‘r2’	metrics.r2_score