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BACC
A Bayesian approach for comparing cross-validated algorithms on multiple data sets.
The package allows to compare two algorithms whose performance has been assessed via cross-validation on multiple data sets. It performs a Bayesian correlated t-test on each data set and then merges their results via a Poisson-binomial inference.
It returns the posterior probability of one algorithm having a higher mean score than the other on the provided collection of data sets. It accounts for the uncertainty and the correlation which characterize the cross-validation samples generated on each data set.
See also A Bayesian approach for comparing cross-validated algorithms on multiple data sets.
Information
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Files |
BACC |
Version | 1
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Date | 1 January 2015
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Requirements | R or Matlab
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