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Clustering text documents using k-means —...
section we define a function to score different clustering pipelines...else name train_times = [] scores = defaultdict ( list ) for...scikit-learn.org/stable/auto_examples/text/plot_document_clustering.html -
SequentialFeatureSelector — scikit-learn ...
scoring str or callable, default=None Scoring method to..., direction = 'forward' , scoring = None , cv = 5 , n_jobs =...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SequentialFeatureSelector.html -
PoissonRegressor — scikit-learn 1.7.2 doc...
score ( X , y ) np.float64(0.990)...(n_samples,) Returns predicted values. score ( X , y , sample_weight = None...scikit-learn.org/stable/modules/generated/sklearn.linear_model.PoissonRegressor.html -
SVC — scikit-learn 1.7.2 documentation
score ( X , y , sample_weight = None...default=None Sample weights. Returns : score float Mean accuracy of self.predict(X)...scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html -
RandomForestRegressor — scikit-learn 1.7....
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.RandomForestRegressor.html -
Imputing missing values with variants of Iterat...
6 )) means = - scores . mean () errors = scores . std () means...cross_val_score ( estimator , X , y , scoring = "neg_mean_squared_error"...scikit-learn.org/stable/auto_examples/impute/plot_iterative_imputer_variants_comparison.html -
Comparing randomized search and grid search for...
with rank: 1 Mean validation score: 0.987 (std: 0.011) Parameters:...with rank: 2 Mean validation score: 0.987 (std: 0.011) Parameters:...scikit-learn.org/stable/auto_examples/model_selection/plot_randomized_search.html -
2.3. Clustering — scikit-learn 1.7.2 docu...
lower scores, and for the adjusted Rand index the score will be...rename 2 to 3, and get the same score: >>> labels_pred =...scikit-learn.org/stable/modules/clustering.html -
LinearSVC — scikit-learn 1.7.2 documentation
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.svm.LinearSVC.html -
plot_classifier_comparison.zip
y_train) score = clf.score(X_test, y_test) Decis...clf.fit(X_train, y_train)\n score = clf.score(X_test, y_test)\n Dec...scikit-learn.org/stable/_downloads/ce35bcc69acbd491cf7ac77fa17889d5/plot_classifier_comparison.zip