mtr_max_error: Max Error
In chuvanan/metrics: Metrics For Evaluating Machine Learning Models

mtr_max_error computes the maximum residual error, a metric that captures the worst error between the predicted value and the true value.

1	mtr_max_error(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

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act <- c(3, 2, 7, 1)
pred <- c(9, 2, 7, 1)
mtr_max_error(act, pred)

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

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