[SW-2595] Add 'mean_per_class_error' to model trainings map #2562
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mn-mikke
commented
Aug 5, 2021
| @@ -43,7 +43,8 @@ | |||
| Withinss(false), | |||
| Betweenss(true), | |||
| TotWithinss(false), | |||
| Totss(false); | |||
| Totss(false), | |||
| MeanPerClassError(false); | |||
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The boolean flag false in this case means: the higher value the metric has, the worse model we get.
michalkurka
approved these changes
Aug 5, 2021
koniecsveta
approved these changes
Aug 6, 2021
mn-mikke
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Aug 6, 2021
* [SW-2595] Add 'mean_per_class_error' to model trainings map * Update failing python test * Update failing R test (cherry picked from commit ec7728a)
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I've tested the feature manually:
