Package: EvaluationMeasures 1.1.0

EvaluationMeasures: Collection of Model Evaluation Measure Functions

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.

Authors:Babak Khorsand [aut, cre], Javad Zahiri [ths], Abdorreza Savadi [ths]

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This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

23 exports 0.36 score 0 dependencies 1 dependents 27 scripts 188 downloads

Last updated 8 years agofrom:64a2a5f3f2. Checks:OK: 7. Indexed: yes.

Exports:EvaluationMeasures.AccuracyEvaluationMeasures.DOREvaluationMeasures.F1ScoreEvaluationMeasures.FallOutEvaluationMeasures.FBMeasureEvaluationMeasures.FDREvaluationMeasures.FMeasureEvaluationMeasures.FNREvaluationMeasures.FOREvaluationMeasures.FPREvaluationMeasures.MCCEvaluationMeasures.MissRateEvaluationMeasures.NLREvaluationMeasures.NPVEvaluationMeasures.PLREvaluationMeasures.PPVEvaluationMeasures.PrecisionEvaluationMeasures.RecallEvaluationMeasures.SensitivityEvaluationMeasures.SpecificityEvaluationMeasures.tableEvaluationMeasures.TNREvaluationMeasures.TPR

Dependencies: