README.md
In dalpozz/warping: Probability warping and calibration with undersampling
warping
Probability warping and calibration after undersampling
This R package allows one to test the condition under which undersampling is expected to return a better ranking given by the posterior probability of a classifer.
This probability is calibrated after estimation to account the change in class priors
dalpozz/warping documentation built on May 14, 2019, 3:32 p.m.
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warping
Probability warping and calibration after undersampling
This R package allows one to test the condition under which undersampling is expected to return a better ranking given by the posterior probability of a classifer. This probability is calibrated after estimation to account the change in class priors
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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