skmetrics.regression module#

Scikit-learn-compatible metrics for regression problems.

@author: David Diaz Vico @license: MIT

skmetrics.regression.relative_mean_absolute_error(y_true, y_pred, sample_weight=None)[source]#

Relative mean absolute error

Calculates the relative mean absolute error: 100 * abs(y_true - y_pred) / abs(y_true).

Parameters:

  • y_true (array-like, shape = [n_samples]) – Ground truth (correct) target values.

  • y_pred (array-like, shape = [n_samples]) – Estimated targets as returned by a classifier.

  • sample_weight (array-like of shape = [n_samples], optional) – Sample weights.

Returns:

rmae – Relative mean absolute error.

Return type:

float