Percent Bias
percent_bias computes the average amount that actual is greater
than predicted as a percentage of the absolute value of actual.
percent_bias(actual, predicted)
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 |
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.
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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