evalml.objectives.RootMeanSquaredError.score¶
-
RootMeanSquaredError.score(y_true, y_predicted, X=None)¶ Returns a numerical score indicating performance based on the differences between the predicted and actual values.
- Parameters
y_predicted (pd.Series) – Predicted values of length [n_samples]
y_true (pd.Series) – Actual class labels of length [n_samples]
X (pd.DataFrame or np.ndarray) – Extra data of shape [n_samples, n_features] necessary to calculate score
- Returns
score