Metrics: bias – R documentation

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bias

Bias

bias computes the average amount by which actual is greater than predicted.

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 `actual`.

If a model is unbiased bias(actual, predicted) should be close to zero. Bias is calculated by taking the average of (actual - predicted).

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)

Evaluation Metrics for Machine Learning

v0.1.4

BSD_3_clause + file LICENSE

Authors

Ben Hamner [aut, cph], Michael Frasco [aut, cre], Erin LeDell [ctb]

Initial release