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mean_absolute_error gives out negative result #6129

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fayeshine opened this issue Jan 7, 2016 · 2 comments
Closed

mean_absolute_error gives out negative result #6129

fayeshine opened this issue Jan 7, 2016 · 2 comments

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@fayeshine
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from sklearn import *
model = linear_model.LinearRegression(n_jobs=8)
%time cross_validation.cross_val_score(model, feature, label, scoring='mean_absolute_error')

Out[16]: array([-0.13273084, -0.13613474, -0.13891673])
@davidthaler
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Its been discussed before (#5023). Those scores are -1*MAE. All of the loss metrics get negated.

@amueller
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this is fixed now.

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@amueller @fayeshine @davidthaler