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_...

Cost_X

23815人浏览 · 2018-12-12 21:12:04

Cost_X · 2018-12-12 21:12:04 发布

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`