MetricsWeighted: classification_error – R documentation

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classification_error

Classification Error

Description

Calculates weighted classification error, i.e. the weighted proportion of elements in predicted that are unequal to those in observed. Equals 1 - accuracy, thus lower values are better.

Usage

classification_error(actual, predicted, w = NULL, ...)

Arguments

`actual`	Observed values.
`predicted`	Predicted values.
`w`	Optional case weights.
`...`	Further arguments passed to `accuracy`.

Value

A numeric vector of length one.

Examples

classification_error(c(0, 0, 1, 1), c(0, 0, 1, 1))
classification_error(c(1, 0, 0, 1), c(0, 0, 1, 1))
classification_error(c(1, 0, 0, 1), c(0, 0, 1, 1), w = 1:4)

MetricsWeighted

Weighted Metrics, Scoring Functions and Performance Measures for Machine Learning

v0.5.2

GPL (>= 2)

Authors

Michael Mayer [aut, cre, cph], Christian Lorentzen [ctb, rev]

Initial release

2021-04-16