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Automatically detect binary classification tasks and default to roc_auc #424

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Aylr opened this issue Nov 3, 2017 · 0 comments
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Aylr commented Nov 3, 2017

Background

  • With the multiclass MVP all metrics were changed to default to accuracy. This isn't ideal.
  • The trainer should detect what kind of classification task and use accuracy if number_of_classes > 2 else use roc_auc
@Aylr Aylr added the bug med label Nov 3, 2017
@mmastand mmastand mentioned this issue Nov 10, 2017
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@Aylr Aylr modified the milestones: Sprint 37, Sprint 38 Dec 13, 2017
@Aylr Aylr modified the milestones: Sprint 38, Sprint 39 Jan 5, 2018
@Aylr Aylr removed this from the Sprint 39 milestone Jan 22, 2018
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