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Training on categorical goals should support up-/downsampling

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Training on categorical goals should support up-/downsampling

Training parameters currently allow only for up- and downsampling for boolean goals. But if you have error classes, e.g. Low,Medium, High, Very high, they will usually not be distributed equally. For a model to perform well on such data, there should be the possibility to upsample rarely occurring failure classes.

 

(see datashape AnalyticsSamplingParams)

1 Comment
olivierlp
Community Manager
Status changed to: Archived

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