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L1-based models for Sparse Signals — scikit-lea...
" f "ARD $R^2$: { r2_score_ard : .3f } , " f "ElasticNet...( X_train , y_train ) print ( f "Lasso fit done in { ( time ()...scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_and_elasticnet.html -
Approximate nearest neighbors in TSNE — scikit-...
msg = f "Benchmarking on { dataset_name } :" print ( f " \n {...msg = f "Benchmarking on { dataset_name } :" print ( f " \n {...scikit-learn.org/stable/auto_examples/neighbors/approximate_nearest_neighbors.html -
Precision-Recall — scikit-learn 1.4.2 documenta...
positives ( \(F_p\) ). \(P = \frac{T_p}{T_p+F_p}\) Recall ( \(R\)...negatives ( \(F_n\) ). \(R = \frac{T_p}{T_p + F_n}\) These quantities...scikit-learn.org/stable/auto_examples/model_selection/plot_precision_recall.html -
Model-based and sequential feature selection — ...
time () print ( f " \n tol: { tol } " ) print ( f "Features selected:...X , y ) toc = time () print ( f "Features selected by SelectFromModel:...scikit-learn.org/stable/auto_examples/feature_selection/plot_select_from_model_diabetes.html -
Importance of Feature Scaling — scikit-learn 1....
label = f "class { target_class } " , alpha...1 ], color = color , label = f "class { target_class } " , alpha...scikit-learn.org/stable/auto_examples/preprocessing/plot_scaling_importance.html -
Polynomial and Spline interpolation — scikit-le...
def f ( x ): """Function to be approximated...replace = False )) y_train = f ( x_train ) # create 2D-array...scikit-learn.org/stable/auto_examples/linear_model/plot_polynomial_interpolation.html -
about.rst.txt
F. and Varoquaux, G. and Gramfort,...scikit-learn.org/stable/_sources/about.rst.txt -
1.13. Feature selection — scikit-learn 1.4.2 do...
f_classif , mutual_info_classif The methods based on F-test...estimator. For instance, we can use a F-test to retrieve the two best...scikit-learn.org/stable/modules/feature_selection.html -
Categorical Feature Support in Gradient Boostin...
shape [ 1 ] print ( f "Number of samples: { X . shape...shape [ 0 ] } " ) print ( f "Number of features: { X . shape [ 1...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_categorical.html -
Feature agglomeration vs. univariate selection ...
BayesianRidge f_regression = mem . cache ( feature_selection . f_regression...univariate_selection.f_regression... f_regression(array([[-0.451933,...scikit-learn.org/stable/auto_examples/cluster/plot_feature_agglomeration_vs_univariate_selection....