mcca (0.5.0)

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Multi-Category Classification Accuracy.

It contains six common multi-category classification accuracy evaluation measures: Hypervolume Under Manifold (HUM), described in Li and Fine (2008) . Correct Classification Percentage (CCP), Integrated Discrimination Improvement (IDI), Net Reclassification Improvement (NRI), R-Squared Value (RSQ), described in Li, Jiang and Fine (2013) . Polytomous Discrimination Index (PDI), described in Van Calster et al. (2012) . Li et al. (2018) . We described all these above measures and our mcca package in Li, Gao and D'Agostino (2019) .

Maintainer: Ming Gao
Author(s): Ming Gao, Jialiang Li

License: GPL

Uses: caret, e1071, MASS, nnet, pROC, rpart

Released 11 days ago.

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