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ExtraTreesRegressor — scikit-learn 1.7.2 ...
Notes The \(R^2\) score used when calling score on a regressor uses...with Friedman’s improvement score for potential splits, “absolute_error”...scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesRegressor.html -
LogisticRegression — scikit-learn 1.7.2 d...
confidence scores for samples. The confidence score for a sample...get the confidence scores. Returns : scores ndarray of shape (n_samples,)...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html -
Wikipedia principal eigenvector — scikit-...
prev_scores = scores scores = ( alpha * ( scores * X + np . dot...< n * tol : return scores return scores print ( "Computing...scikit-learn.org/stable/auto_examples/applications/wikipedia_principal_eigenvector.html -
permutation_importance — scikit-learn 1.7...
If scoring represents a single score, one can use:...criterion is used. If scoring represents multiple scores, one can use:...scikit-learn.org/stable/modules/generated/sklearn.inspection.permutation_importance.html -
GradientBoostingClassifier — scikit-learn...
squared error with improvement score by Friedman, ‘squared_error’...terminate training when validation score is not improving. By default...scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html -
FixedThresholdClassifier — scikit-learn 1...
predict_proba ) or decision scores (i.e. output of decision_function...predict_proba ) or decision scores (i.e. output of decision_function...scikit-learn.org/stable/modules/generated/sklearn.model_selection.FixedThresholdClassifier.html -
fbeta_score — scikit-learn 1.7.2 document...
Compute the F-beta score. The F-beta score is the weighted harmonic...precision. The formula for F-beta score is: \[F_\beta = \frac{(1 + \beta^2)...scikit-learn.org/stable/modules/generated/sklearn.metrics.fbeta_score.html -
3. Model selection and evaluation — sciki...
Which scoring function should I use? 3.4.2. Scoring API overview...selection 3.1.5. Permutation test score 3.2. Tuning the hyper-parameters...scikit-learn.org/stable/model_selection.html -
plot_multi_metric_evaluation.py
scoring=scoring, refit="AUC", n_jobs=2,...can be done by setting the ``scoring`` parameter to a list of metric...scikit-learn.org/stable/_downloads/dedbcc9464f3269f4f012f4bfc7d16da/plot_multi_metric_evaluation.py -
explained_variance_score — scikit-learn 1...
variance regression score function. Best possible score is 1.0, lower...Explained Variance score is similar to the R^2 score , with the notable...scikit-learn.org/stable/modules/generated/sklearn.metrics.explained_variance_score.html