accuracy: Accuracy

In Metrics: Evaluation Metrics for Machine Learning

Description

accuracy is defined as the proportion of elements in actual that are equal to the corresponding element in predicted

Usage

accuracy(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

ce

Examples

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

Example output

[1] 0.6

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