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L1 Penalty and Sparsity in Logistic Regression ...
* 100 print ( f "C= { C : .2f } " ) print ( f " { 'Sparsity with...sparsity_l1_LR : .2f } %" ) print ( f " { 'Sparsity with Elastic-Net...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_l1_l2_sparsity.html -
Multiclass Receiver Operating Characteristic (R...
name = f " { class_of_interest } vs the...effect of numpy.ravel : print ( f "y_score: \n { y_score [ 0 : 2...scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html -
Scalable learning with polynomial kernel approx...
annotate ( f "n_comp.= { n_components } " , ( results [ f "LSVM +..."score" : lsvm_score } print ( f "Linear SVM score on raw features:...scikit-learn.org/stable/auto_examples/kernel_approximation/plot_scalable_poly_kernels.html -
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 -
FeatureHasher and DictVectorizer Comparison — s...
s in raw_data ) / 1e6 print ( f " { len ( raw_data ) } documents...data_size_mb / duration ) print ( f "done in { duration : .3f } s...scikit-learn.org/stable/auto_examples/text/plot_hashing_vs_dict_vectorizer.html -
dump_svmlight_file — scikit-learn 1.5.0 documen...
data will be written to f. f should be opened in binary mode....dump_svmlight_file ( X , y , f , * , zero_based = True , comment...scikit-learn.org/stable/modules/generated/sklearn.datasets.dump_svmlight_file.html -
Precision-Recall — scikit-learn 1.5.0 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 -
Classification of text documents using sparse f...
print ( f " { len ( data_train . data ) } documents - " f " { data_train_size_mb...print ( f " { len ( target_names ) } categories" ) print ( f "vectorize...scikit-learn.org/stable/auto_examples/text/plot_document_classification_20newsgroups.html -
ShuffleSplit — scikit-learn 1.5.0 documentation
print ( f "Fold { i } :" ) ... print ( f " Train: index=...)): ... print ( f "Fold { i } :" ) ... print ( f " Train: index=...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ShuffleSplit.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