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PLSCanonical — scikit-learn 1.8.0 documentation
Notes The \(R^2\) score used when calling score on a regressor uses...in high dimensional space. score ( X , y , sample_weight = None...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSCanonical.html -
permutation_importance — scikit-learn 1.8.0 doc...
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 -
Hybrid search with Elasticsearch | Elastic
both worlds Scoring that makes sense Use BM25F scoring with full...understand how docs score. Vector scores are fully exposed —...www.elastic.co/elasticsearch/hybrid-search -
3.1. Cross-validation: evaluating estimator per...
2f " % ( scores . mean (), scores . std ())) 0.98 accuracy...default, the score computed at each CV iteration is the score method...scikit-learn.org/stable/modules/cross_validation.html -
fbeta_score — scikit-learn 1.8.0 documentation
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 -
roc_auc_score — scikit-learn 1.8.0 documentation
transpose ([ score [:, 1 ] for score in y_score ]) >>> roc_auc_score...Curve (ROC AUC) from prediction scores. Note: this implementation...scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html -
DensityMixin — scikit-learn 1.8.0 documentation
"score" ) True score ( X , y = None ) [source]...through the estimator_type tag; score method that default that do...scikit-learn.org/stable/modules/generated/sklearn.base.DensityMixin.html -
IsolationForest — scikit-learn 1.8.0 documentation
as the scores of inliers are close to 0 and the scores of outliers...anomaly score of X of the base classifiers. The anomaly score of an...scikit-learn.org/stable/modules/generated/sklearn.ensemble.IsolationForest.html -
11. Common pitfalls and recommended practices —...
accuracy: { scores . mean () : .2f } +/- { scores . std () : .2f...result in overly optimistic scores. Conversely, the transform...scikit-learn.org/stable/common_pitfalls.html -
QuantileRegressor — scikit-learn 1.8.0 document...
Notes The \(R^2\) score used when calling score on a regressor uses...(n_samples,) Returns predicted values. score ( X , y , sample_weight = None...scikit-learn.org/stable/modules/generated/sklearn.linear_model.QuantileRegressor.html