ebc_allmeasures {evabic}

Available measures

Description

Available measures in evabic

Usage

ebc_allmeasures

Format

An object of class character of length 18.

Details

TP

True Positive

FP

False Positive

FN

False Negative

TN

True Negative

TPR

True Positive Rate or Sensitivity or Recall or Power

TPR = \frac{TP}{TP + FN} = 1 - FNR

TNR

True Negative Rate or Specificity

TNR = \frac{TN}{FP + TN} = 1 - FPR

PPV

Positive Predictive Value or Precision

PPV = \frac{TP}{TP + FP} = 1 - FDR

NPV

Negative Predictive Value

NPV = \frac{TN}{TN + FN} = 1 - FOR

FNR

False Negative Rate or Type II Error Rate or Miss Rate

FNR = \frac{FN}{TP + FN} = 1 - TPR

FPR

False Positive Rate or Type I Errors Rate or Fall-out

FPR = \frac{FP}{FP + TN} = 1 - TNR

FDR

False Discovery Rate

FDR = \frac{FP}{FP + TP} = 1 - PPV

FOR

False Omission Rate

FOR = \frac{FN}{TN + FN} = 1 - NPV

ACC

Accuracy

ACC = \frac{TP + TN}{TP + FP + FN + TN}

BACC

Balanced Accuracy

BACC = \frac{\frac{TP}{TP + FN} + \frac{TN}{FP + TN}}{2}

F1

F1 Score

F1 = \frac{2 TP}{2TP + FP + FN} = \frac{2}{\frac{1}{TPR} + \frac{1}{PPV}}

PLR

Positive Likelihood Ratio or LR+ or Likelihood Ratio for Positive Results

PLR = \frac{TPR}{1 - TNR}

NLR

Negative Likelihood Ratio or LR- or Likelihood Ratio for Negative Results

NLR = \frac{1 - TPR}{TNR}

DOR

Diagnostic Odds Ratio

DOR = \frac{\frac{TP}{FP}}{\frac{FN}{TN}} = \frac{PLR}{NLR}

References

https://en.wikipedia.org/wiki/Evaluation_of_binary_classifiers

Examples

ebc_allmeasures