sklearn.metrics.median_absolute_error()

sklearn.metrics.median_absolute_error(y_true, y_pred) [source]

Median absolute error regression loss

Parameters:	y_true : array-like of shape = (n_samples) Ground truth (correct) target values. y_pred : array-like of shape = (n_samples) Estimated target values.
Returns:	loss : float A positive floating point value (the best value is 0.0).

Examples

>>> from sklearn.metrics import median_absolute_error
>>> y_true = [3, -0.5, 2, 7]
>>> y_pred = [2.5, 0.0, 2, 8]
>>> median_absolute_error(y_true, y_pred)
0.5

Links:

http://scikit-learn.org/stable/modules/generated/sklearn.metrics.median_absolute_error.html

doc_scikit_learn

2025-01-10 15:47:30

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