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sklearn.tree.DecisionTreeRegressor — scikit-lea...
splitter {“best”, “random”}, default=”best” The strategy used...Supported strategies are “best” to choose the best split and “random”...scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeRegressor.html -
3.4. Validation curves: plotting scores to eval...
compute the score on another test set. However, it is sometimes...that the first estimator can at best provide only a poor fit to the...scikit-learn.org/stable/modules/learning_curve.html -
sklearn.ensemble.BaggingRegressor — scikit-lear...
n_features) Test samples. For some estimators...y_true.mean()) ** 2).sum() . The best possible score is 1.0 and it...scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingRegressor.html -
Classification of text documents using sparse f...
predict ( X_test ) test_time = time () - t0 print ( f "test time: {..., ) data_test = fetch_20newsgroups ( subset = "test" , categories...scikit-learn.org/stable/auto_examples/text/plot_document_classification_20newsgroups.html -
Ad Maiorem Gloriam Concreti | MetaFilter
They have withstood the test of time.I need gargoyles people!...style="display:none"></div> <script type="text/javascript"> !function() { var...www.metafilter.com/203499/Ad-Maiorem-Gloriam-Concreti -
sklearn.impute.SimpleImputer — scikit-learn 1.4...
missing values at transform/test time. keep_empty_features bool,...simple estimators as well as on nested objects (such as Pipeline )....scikit-learn.org/stable/modules/generated/sklearn.impute.SimpleImputer.html -
sklearn.linear_model.HuberRegressor — scikit-le...
n_features) Test samples. For some estimators...y_true.mean()) ** 2).sum() . The best possible score is 1.0 and it...scikit-learn.org/stable/modules/generated/sklearn.linear_model.HuberRegressor.html -
sklearn.covariance.GraphicalLassoCV — scikit-le...
score (X_test[, y]) Compute the log-likelihood of X_test under the...: X_test array-like of shape (n_samples, n_features) Test data...scikit-learn.org/stable/modules/generated/sklearn.covariance.GraphicalLassoCV.html -
Faces recognition example using eigenfaces and ...
X_test , y_train , y_test = train_test_split ( X , y , test_size...set and a test and keep 25% of the data for testing. X_train ,...scikit-learn.org/stable/auto_examples/applications/plot_face_recognition.html -
Kernel PCA — scikit-learn 1.4.2 documentation
X_test , y_train , y_test = train_test_split ( X ,..."Training data" ) test_ax . scatter ( X_test [:, 0 ], X_test [:, 1 ],...scikit-learn.org/stable/auto_examples/decomposition/plot_kernel_pca.html