Learn R Programming

EvaluationMeasures (version 1.1.0)

Collection of Model Evaluation Measure Functions

Description

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.

Copy Link

Version

Install

install.packages('EvaluationMeasures')

Monthly Downloads

172

Version

1.1.0

License

GPL

Maintainer

Babak Khorsand

Last Published

July 27th, 2016

Functions in EvaluationMeasures (1.1.0)

EvaluationMeasures.FPR

EvaluationMeasures.FPR
EvaluationMeasures.FDR

EvaluationMeasures.FDR
EvaluationMeasures.NPV

EvaluationMeasures.NPV
EvaluationMeasures.Sensitivity

EvaluationMeasures.Sensitivity
EvaluationMeasures.MCC

EvaluationMeasures.MCC
EvaluationMeasures.Specificity

EvaluationMeasures.Specificity
EvaluationMeasures.MissRate

EvaluationMeasures.MissRate
EvaluationMeasures.PLR

EvaluationMeasures.PLR
EvaluationMeasures.PPV

EvaluationMeasures.PPV
EvaluationMeasures.NLR

EvaluationMeasures.NLR
EvaluationMeasures.Recall

EvaluationMeasures.Recall
EvaluationMeasures.Precision

EvaluationMeasures.Precision
EvaluationMeasures.table

EvaluationMeasures.table
EvaluationMeasures.TPR

EvaluationMeasures.TPR
EvaluationMeasures.TNR

EvaluationMeasures.TNR
EvaluationMeasures.FNR

EvaluationMeasures.FNR
EvaluationMeasures.F1Score

EvaluationMeasures.F1Score
EvaluationMeasures.FBMeasure

EvaluationMeasures.FBMeasure
EvaluationMeasures.FallOut

EvaluationMeasures.FallOut
EvaluationMeasures.FMeasure

EvaluationMeasures.FMeasure
EvaluationMeasures.Accuracy

EvaluationMeasures.Accuracy
EvaluationMeasures.FOR

EvaluationMeasures.FOR
EvaluationMeasures.DOR

EvaluationMeasures.DOR