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doc-PropertiesHtml-View-example.png
Profile, compressionMethod=deflate 8 8 8 145 1 1.0 1 true true...PixelInterleaved width=755, height=145, bitDepth=8, colorType=RGB, compressionMethod=deflate,...dbflute.seasar.org/ja/data/model/doc-PropertiesHtml-View-example.png -
SparsePCA — scikit-learn 1.7.1 documentation
ridge_alpha = 0.01 , max_iter = 1000 , tol = 1e-08 , method = 'lars' , n_jobs...stopping condition. method {‘lars’, ‘cd’}, default=’lars’ Method to be...scikit-learn.org/stable/modules/generated/sklearn.decomposition.SparsePCA.html -
RFE — scikit-learn 1.7.1 documentation
array([1, 1, 1, 1, 1, 6, 4, 3, 2, 5]) decision_function ( X ) [source]...vector machines”, Mach. Learn., 46(1-3), 389–422, 2002. Examples The...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFE.html -
GradientBoostingClassifier — scikit-learn 1.7.1...
None , tol = 0.0001 , ccp_alpha = 0.0 ) [source] # Gradient Boosting...increase in bias. Values must be in the range (0.0, 1.0] . criterion...scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html -
load_breast_cancer — scikit-learn 1.7.1 documen...
load_breast_cancer () >>> data . target [[ 10 , 50 , 85 ]] array([0, 1, 0]) >>>...list ( data . target_names ) [np.str_('malignant'), np.str_('benign')]...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_breast_cancer.html -
make_gaussian_quantiles — scikit-learn 1.7.1 do...
[np.int64(2), np.int64(0), np.int64(1), np.int64(0), np.int64(2)]...X . shape (100, 2) >>> y . shape (100,) >>> list ( y [: 5 ]) [np.int64(2),...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_gaussian_quantiles.html -
QuantileRegressor — scikit-learn 1.7.1 document...
intercept. solver {‘highs-ds’, ‘highs-ipm’, ‘highs’, ‘interior-point’,...<= reg . predict ( X )) np.float64(0.8) fit ( X , y , sample_weight...scikit-learn.org/stable/modules/generated/sklearn.linear_model.QuantileRegressor.html -
rand_score — scikit-learn 1.7.1 documentation
rand_score ([ 0 , 0 , 1 , 1 ], [ 1 , 1 , 0 , 0 ]) 1.0 Labelings...0 , 0 , 1 , 1 ]) 0.83 Gallery examples # Adjustment for chance...scikit-learn.org/stable/modules/generated/sklearn.metrics.rand_score.html -
classification_report — scikit-learn 1.7.1 docu...
{ 'precision' : 0.5 , 'recall' : 1.0 , 'f1-score' : 0.67 , 'support'...recall f1-score support class 0 0.50 1.00 0.67 1 class 1 0.00 0.00...scikit-learn.org/stable/modules/generated/sklearn.metrics.classification_report.html -
Ensemble methods — scikit-learn 1.7.1 documenta...
Boosting Out-of-Bag estimates Gradient Boosting Out-of-Bag estimates...bagging: bias-variance decomposition Two-class AdaBoost Two-class AdaBoost...scikit-learn.org/stable/auto_examples/ensemble/index.html
