Metrics (version 0.1.4)

precision: Precision

Description

precision computes proportion of observations predicted to be in the positive class (i.e. the element in predicted equals 1) that actually belong to the positive class (i.e. the element in actual equals 1)

Usage

precision(actual, predicted)

Arguments

actual

The ground truth binary numeric vector containing 1 for the positive class and 0 for the negative class.

predicted

The predicted binary numeric vector containing 1 for the positive class and 0 for the negative class. Each element represents the prediction for the corresponding element in actual.

See Also

recall fbeta_score

Examples

# NOT RUN {
actual <- c(1, 1, 1, 0, 0, 0)
predicted <- c(1, 1, 1, 1, 1, 1)
precision(actual, predicted)
# }