ebc_allmeasures | R Documentation |
Available measures in evabic
ebc_allmeasures
An object of class character
of length 18.
True Positive
False Positive
False Negative
True Negative
True Positive Rate or Sensitivity or Recall or Power
TPR = \frac{TP}{TP + FN} = 1 - FNR
True Negative Rate or Specificity
TNR = \frac{TN}{FP + TN} = 1 - FPR
Positive Predictive Value or Precision
PPV = \frac{TP}{TP + FP} = 1 - FDR
Negative Predictive Value
NPV = \frac{TN}{TN + FN} = 1 - FOR
False Negative Rate or Type II Error Rate or Miss Rate
FNR = \frac{FN}{TP + FN} = 1 - TPR
False Positive Rate or Type I Errors Rate or Fall-out
FPR = \frac{FP}{FP + TN} = 1 - TNR
False Discovery Rate
FDR = \frac{FP}{FP + TP} = 1 - PPV
False Omission Rate
FOR = \frac{FN}{TN + FN} = 1 - NPV
Accuracy
ACC = \frac{TP + TN}{TP + FP + FN + TN}
Balanced Accuracy
BACC = \frac{\frac{TP}{TP + FN} + \frac{TN}{FP + TN}}{2}
F1 Score
F1 = \frac{2 TP}{2TP + FP + FN} = \frac{2}{\frac{1}{TPR} + \frac{1}{PPV}}
Positive Likelihood Ratio or LR+ or Likelihood Ratio for Positive Results
PLR = \frac{TPR}{1 - TNR}
Negative Likelihood Ratio or LR- or Likelihood Ratio for Negative Results
NLR = \frac{1 - TPR}{TNR}
Diagnostic Odds Ratio
DOR = \frac{\frac{TP}{FP}}{\frac{FN}{TN}} = \frac{PLR}{NLR}
https://en.wikipedia.org/wiki/Evaluation_of_binary_classifiers
ebc_allmeasures
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