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Provides Some of the most important evaluation measures for evaluating a model. Just by giving the real and predicted class, measures such as accuracy, sensitivity, specificity, ppv, npv, fmeasure, mcc and ... will be returned.
| Version: | 1.1.0 |
| Published: | 2016-07-27 |
| Author: | Babak Khorsand [aut, cre], Javad Zahiri [ths], Abdorreza Savadi [ths] |
| Maintainer: | Babak Khorsand <khorsand at yahoo.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| NeedsCompilation: | no |
| CRAN checks: | EvaluationMeasures results |
| Reference manual: | EvaluationMeasures.pdf |
| Package source: | EvaluationMeasures_1.1.0.tar.gz |
| Windows binaries: | r-devel: EvaluationMeasures_1.1.0.zip, r-release: EvaluationMeasures_1.1.0.zip, r-oldrel: EvaluationMeasures_1.1.0.zip |
| macOS binaries: | r-release (arm64): EvaluationMeasures_1.1.0.tgz, r-oldrel (arm64): EvaluationMeasures_1.1.0.tgz, r-release (x86_64): EvaluationMeasures_1.1.0.tgz, r-oldrel (x86_64): EvaluationMeasures_1.1.0.tgz |
| Reverse imports: | TransGraph |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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