calculate_performance: Performance measures for two-class classification

Description Usage Arguments Value Author(s) See Also Examples

View source: R/calculate_performance.R

Description

Performance measures for two-class classification

Usage

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calculate_performance(truth, prediction, pos_label = levels(truth)[2])

Arguments

truth

(factor)
A factor vector with "true"/reference classes.

prediction

A vector with predicted classes.

pos_label

(character(1))
A string with the name of positive group. By default, the second level of factor truth is treated as positive.

Value

A matrix with the following columns:



Author(s)

Vilmantas Gegzna

See Also

Other functions for ROC: access_elements, print.as_str, roc_performance_measures, roc_predict

Examples

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(truth <- gl(n = 2, k = 3, length = 20, labels = c("H","S")))

(prediction <- rev(truth))


calculate_performance(truth, prediction)

calculate_performance(truth, prediction, pos_label = "S")

calculate_performance(truth, prediction, pos_label = "H")

GegznaV/manyROC documentation built on Oct. 3, 2017, 11:05 p.m.