mae: Mean Absolute Error
In chuvanan/metrics: Metrics For Evaluating Machine Learning Models

mtr_mean_absolute_error is a measure of difference between the predicted value and the true value.

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mtr_mean_absolute_error(actual, predicted)

mtr_mae(actual, predicted)

`actual`	`[numeric]` The ground truth numeric vector.
`predicted`	`[numeric]` The predicted numeric vector, where each element in the vector is a prediction of the corresponding elements in `actual`.

A numeric scalar output

An Chu

act <- c(3, -0.5, 2, 7)
pred <- c(2.5, 0.0, 2, 8)
mtr_mean_absolute_error(act, pred)
mtr_mae(act, pred)

chuvanan/metrics documentation built on Nov. 4, 2019, 8:52 a.m.

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