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Currently, if you build a prtFeatSelSfs with nFeatures = 10, and the performance goes : [1 2 3 4 5 4 3 2 1 0], dsOut = featSel.run(ds) will always give you the dsOut with 10 features despite 5 features being better.
Propose: add parameter "selectBestNumberFeatures = false". During RUNif the best performance was achieved with fewer than nFeatures, then just select that # features.
The text was updated successfully, but these errors were encountered:
peterTorrione
changed the title
prtFeatSelSfs optionally optimizes for any #features < #features you selected
prtFeatSelSfs should optionally optimize for any #features < #features you selected
Jul 18, 2018
Currently, if you build a prtFeatSelSfs with nFeatures = 10, and the performance goes : [1 2 3 4 5 4 3 2 1 0], dsOut = featSel.run(ds) will always give you the dsOut with 10 features despite 5 features being better.
Propose: add parameter "selectBestNumberFeatures = false". During RUNif the best performance was achieved with fewer than nFeatures, then just select that # features.
The text was updated successfully, but these errors were encountered: