ce: Classification Error

Description Usage Arguments See Also Examples

Description

ce is defined as the proportion of elements in actual that are not equal to the corresponding element in predicted.

Usage

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ce(actual, predicted)

Arguments

actual

The ground truth vector, where elements of the vector can be any variable type.

predicted

The predicted vector, where elements of the vector represent a prediction for the corresponding value in actual.

See Also

accuracy

Examples

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actual <- c('a', 'a', 'c', 'b', 'c')
predicted <- c('a', 'b', 'c', 'b', 'a')
ce(actual, predicted)

Example output

[1] 0.4

Metrics documentation built on May 1, 2019, 10:11 p.m.

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