calcPerf: Calculate classifier performance metrics

In luannnguyen/mltoolkit: Various tools for training machine learning classifiers

Description

Calculate classifier performance metrics

Usage

calcPerf(confusion, metrics, melt = F, add.start.end.values = T)

Arguments

confusion	A numeric vector or matrix or data frame. These should contain a confusion matrix for one cutoff or confusion matrices for multiple cutoffs.
metrics	A character vector of the desired statistics. Multiple metrics can be specified.
melt	If melt = FALSE, output in wide format. If melt = TRUE, output in long format

Value

A numeric vector or matrix of the selected performance metrics

Examples

calcPerf(confusion, c('tpr','tnr'))

luannnguyen/mltoolkit documentation built on Aug. 29, 2020, 8:31 a.m.