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RMSE#

The Root Mean Squared Error (RMSE) is equivalent to the standard deviation of the error residuals in a regression problem. Since RMSE is just the square root of the MSE, RMSE is also sensitive to outliers because larger errors have a disproportionately large effect on the score.

RMSE=1ni=1n(YiYi^)2

Note

In order to maintain the convention of maximizing validation scores, this metric outputs the negative of the original score.

Estimator Compatibility: Regressor

Output Range: -∞ to 0

Parameters#

This metric does not have any parameters.

Example#

use Rubix\ML\CrossValidation\Metrics\RMSE;

$metric = new RMSE();

Last update: 2021-01-26