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CCA — 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.CCA.html -
Ridge — scikit-learn 1.8.0 documentation
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.Ridge.html -
ExtraTreeRegressor — scikit-learn 1.8.0 d...
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.tree.ExtraTreeRegressor.html -
clustering.rst.txt
lower scores, and for the adjusted Rand index the score will be...1.0 is the perfect match score. The score range is [0, 1] for the...scikit-learn.org/stable/_sources/modules/clustering.rst.txt -
sklearn.metrics — scikit-learn 1.8.0 docu...
d2_brier_score \(D^2\) score function, fraction of Brier score explained....Compute the F1 score, also known as balanced F-score or F-measure....scikit-learn.org/stable/api/sklearn.metrics.html -
ndcg_score — scikit-learn 1.8.0 documenta...
some scores (relevance) for the answers >>> scores = np...true_relevance , scores ) 0.69 >>> scores = np . asarray...scikit-learn.org/stable/modules/generated/sklearn.metrics.ndcg_score.html -
plot_multi_metric_evaluation.zip
scoring=scoring, refit="AUC", n_jobs=2,...range(2, 403, 20)},\n scoring=scoring,\n refit=\"AUC\",\n n_jobs=2,\n...scikit-learn.org/stable/_downloads/535778bfbc9b4881da3e662bc2ea8484/plot_multi_metric_evaluation.zip -
Probability Calibration curves — scikit-l...
Brier score loss , Log loss , precision, recall, F1 score and ROC..."score" , "" ) . capitalize () scores [ score_name...scikit-learn.org/stable/auto_examples/calibration/plot_calibration_curve.html -
davies_bouldin_score — scikit-learn 1.8.0...
Compute the Davies-Bouldin score. The score is defined as the average...result in a better score. The minimum score is zero, with lower...scikit-learn.org/stable/modules/generated/sklearn.metrics.davies_bouldin_score.html -
LassoCV — scikit-learn 1.8.0 documentation
Notes The \(R^2\) score used when calling score on a regressor uses...X , y ) >>> reg . score ( X , y ) 0.9993 >>>...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoCV.html