A collection of evaluation metrics, including loss, score and utility functions, that measure regression, classification and ranking performance.
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1.1.3 by Yachen Yan, 3 years ago
https://github.com/yanyachen/MLmetrics
Report a bug at https://github.com/yanyachen/MLmetrics/issues
Browse source code at https://github.com/cran/MLmetrics
Authors: Yachen Yan [aut, cre]
Documentation: PDF Manual
GPL-2 license
Imports stats, utils, ROCR
Suggests e1071
Imported by AutoNN, GroupBN, ImNN, Imneuron, InterNL, LCCkNN, SLOS, aggreCAT, alookr, boostingDEA, dendroTools, evinf, gspcr, immunaut, less, lilikoi, mikropml, oRaklE, xtdml, xtifedml, yager.
Suggested by caret, cornet, etree, featR, isotree.
See at CRAN