bias computes the average amount by which actual is greater than predicted.
bias
actual
predicted
bias(actual, predicted)
The ground truth numeric vector.
The predicted numeric vector, where each element in the vector is a prediction for the corresponding element in actual.
If a model is unbiased bias(actual, predicted) should be close to zero. Bias is calculated by taking the average of (actual - predicted).
percent_bias
# 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) bias(actual, predicted) # }
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