Metrics (version 0.1.4)

accuracy: Accuracy

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

Run this code
# NOT RUN {
actual <- c('a', 'a', 'c', 'b', 'c')
predicted <- c('a', 'b', 'c', 'b', 'a')
accuracy(actual, predicted)
# }

Run the code above in your browser using DataLab