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Demonstration of multi-metric evaluation on cro...
scoring = scoring , refit = "AUC" , n_jobs...can be done by setting the scoring parameter to a list of metric...scikit-learn.org/stable/auto_examples/model_selection/plot_multi_metric_evaluation.html -
RFECV — scikit-learn 1.8.0 documentation
scoring str or callable, default=None Scoring method to...classes_ . score ( X , y , ** score_params ) [source] # Score using...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFECV.html -
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 -
Wikipedia principal eigenvector — scikit-learn ...
prev_scores = scores scores = ( alpha * ( scores * X + np . dot...err < n * tol : return scores return scores print ( "Computing principal...scikit-learn.org/stable/auto_examples/applications/wikipedia_principal_eigenvector.html -
grid_search.rst.txt
alternative scoring function can be specified via the ``scoring`` parameter...for the ``scoring`` parameter. Multimetric scoring can either...scikit-learn.org/stable/_sources/modules/grid_search.rst.txt -
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 -
Custom refit strategy of a grid search with cro...
define the scores to select the best candidate. scores = [ "precision"...(), tuned_parameters , scoring = scores , refit = refit_strategy...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_digits.html -
explained_variance_score — scikit-learn 1.8.0 d...
variance regression score function. Best possible score is 1.0, lower...Explained Variance score is similar to the R^2 score , but the former...scikit-learn.org/stable/modules/generated/sklearn.metrics.explained_variance_score.html -
LinearRegression — scikit-learn 1.8.0 documenta...
Notes The \(R^2\) score used when calling score on a regressor uses...() . fit ( X , y ) >>> reg . score ( X , y ) 1.0 >>> reg . coef_...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.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