Metrics (version 0.1.4)

percent_bias: Percent Bias

Description

percent_bias computes the average amount that actual is greater than predicted as a percentage of the absolute value of actual.

Usage

percent_bias(actual, predicted)

Arguments

actual

The ground truth numeric vector.

predicted

The predicted numeric vector, where each element in the vector is a prediction for the corresponding element in actual.

Details

If a model is unbiased percent_bias(actual, predicted) should be close to zero. Percent Bias is calculated by taking the average of (actual - predicted) / abs(actual) across all observations.

percent_bias will give -Inf, Inf, or NaN, if any elements of actual are 0.

See Also

bias

Examples

# NOT RUN {
actual <- c(1.1, 1.9, 3.0, 4.4, 5.0, 5.6)
predicted <- c(0.9, 1.8, 2.5, 4.5, 5.0, 6.2)
percent_bias(actual, predicted)
# }

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