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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 -
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 -
Has child query | Elasticsearch Guide [8.19] | ...
documents a score of 0 . avg Use the mean relevance score of all matching...(Optional, string) Indicates how scores for matching child documents...www.elastic.co/guide/en/elasticsearch/reference/8.19/query-dsl-has-child-query.html -
Imputing missing values before building an esti...
and score # Now we will write a function which will score the...regressor scores = cross_val_score ( estimator , X , y , scoring = ...scikit-learn.org/stable/auto_examples/impute/plot_missing_values.html -
LassoLarsIC — scikit-learn 1.7.2 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.LassoLarsIC.html -
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 -
feature_selection.rst.txt
input a scoring function that returns univariate scores and p-values...improve estimators' accuracy scores or to boost their performance...scikit-learn.org/stable/_sources/modules/feature_selection.rst.txt -
1.13. Feature selection — scikit-learn 1....
input a scoring function that returns univariate scores and p-values...improve estimators’ accuracy scores or to boost their performance...scikit-learn.org/stable/modules/feature_selection.html -
Compare Stochastic learning strategies for MLPC...
"Training set score: %f " % mlp . score ( X , y )) print...learning-rate Training set score: 0.980000 Training set loss:...scikit-learn.org/stable/auto_examples/neural_networks/plot_mlp_training_curves.html -
CCA — scikit-learn 1.7.2 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