From b0e977a727f13231ec297c5af69ffa84ffef0af0 Mon Sep 17 00:00:00 2001 From: arahuja Date: Mon, 3 Feb 2014 23:14:04 -0500 Subject: [PATCH] Fixing MAE and MSE errors. should not be negative when used in cross_val_score --- sklearn/metrics/scorer.py | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/sklearn/metrics/scorer.py b/sklearn/metrics/scorer.py index 1d26671b67851..d70aa35c4c8cb 100644 --- a/sklearn/metrics/scorer.py +++ b/sklearn/metrics/scorer.py @@ -308,10 +308,8 @@ def make_scorer(score_func, greater_is_better=True, needs_proba=False, # Standard regression scores r2_scorer = make_scorer(r2_score) -mean_squared_error_scorer = make_scorer(mean_squared_error, - greater_is_better=False) -mean_absolute_error_scorer = make_scorer(mean_absolute_error, - greater_is_better=False) +mean_squared_error_scorer = make_scorer(mean_squared_error) +mean_absolute_error_scorer = make_scorer(mean_absolute_error) # Standard Classification Scores accuracy_scorer = make_scorer(accuracy_score)