metrics: Multi-class performance metrics

In quevedor2/WadingPool: A toolkit for shallow/low-pass whole genome sequencing analysis

Description

Get multi-class performance metrics in the form of Precision, Accuracy, and micro/macro F1 metrics. The base metrics are calculated from the caret packages confusionMatrix() function

Usage

metrics(predictions, reference)

Arguments

predictions	vector of predictions
reference	vector of actual classes

Value

2 element list of a dataframe containing micro and macro F1 scores with precision and accuracy

Examples

metrics(predictions=sample(1:4, 1000, replace=TRUE), reference=sample(1:4, 1000, replace=TRUE))

quevedor2/WadingPool documentation built on Dec. 22, 2021, 10:59 a.m.