perfCalc {netDx} | R Documentation

## Computes variety of predictor evaluation measures based on the confusion matrix

### Description

Computes variety of predictor evaluation measures based on the confusion matrix

### Usage

    perfCalc(dat)

### Arguments

`dat` | (data.frame): 5 columns: score, tp, fp, tn, fn. One row per cutoff score for feature selection

### Value

(list) stats (data.frame): score, f1, ppv, precision and recall. One row per cutoff for feature selection auc (numeric between 0 and 1): AUC of overall ROC curve prauc (numeric between 0 and 1): AUC of overall precision-recall curve

### Examples

    data(confmat)
    x <- perfCalc(confmat)

[Package netDx version 1.0.3 Index]