3.3. Model evaluation
3.3. Model evaluation: quantifying the quality of predictions
There are 3 different approaches to evaluate the quality of predictions of a model:
-
Estimator score method: Estimators have a
score
method providing a default evaluation criterion for the problem they are designed to solve. This is not discussed on this page, but in each estimator’s documentation. -
Scoring parameter: Model-evaluation tools using cross-validation (such as
model_selection.cross_val_s