What is actually quite interesting is that the "worst" model has AUC of
0.29 which is actually AUC 0.71 if you invert the predictions.
2013/7/8 Olivier Grisel <[email protected]>
> Alternatively you can use the `score_func=f1_score` in 0.13 look for
> models that trade off precision and recall on unbalanced datasets.
>
> --
> Olivier
>
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--
Peter Prettenhofer
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