using Isotonic regression and platt scaling for multi class classification

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using Isotonic regression and platt scaling for multi class classification

Tazar
I would like to calibrate probabilities produce by random forest classifier
for multi classes and one way is to apply OnevsAll method and then apply
isotonic or platt scaling. how I can do this in weka explorer so that the
output from RF classifiers are calibrated by isotonic regression?  what meta
classifier I should use??



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Re: using Isotonic regression and platt scaling for multi class classification

Eibe Frank
You can use Stacking with RandomForest as the base classifier and ClassificationViaRegression + IsotonicRegression as the meta classifier.

Cheers,
Eibe

On Tue, Mar 10, 2020 at 8:39 AM Tazar <[hidden email]> wrote:
I would like to calibrate probabilities produce by random forest classifier
for multi classes and one way is to apply OnevsAll method and then apply
isotonic or platt scaling. how I can do this in weka explorer so that the
output from RF classifiers are calibrated by isotonic regression?  what meta
classifier I should use??



--
Sent from: https://weka.8497.n7.nabble.com/
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