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3.3. Tuning the decision threshold for class pr...
DecisionTreeClassifi ( max_depth = 2 , random_state = 0 ) . fit ( X...best_score_ np.float64(0.86) 3.3.1.2. Important notes regarding the...scikit-learn.org/stable/modules/classification_threshold.html -
Manifold learning on handwritten digits: Locall...
zorder = 2 , ) shown_images = np . array...(( X [ i ] - shown_images ) ** 2 , 1 ) if np . min ( dist ) <...scikit-learn.org/stable/auto_examples/manifold/plot_lle_digits.html -
Plot the decision surface of decision trees tra...
2 ], [ 0 , 3 ], [ 1 , 2 ], [ 1 , 3 ], [ 2 , 3 ]]): #...boundary ax = plt . subplot ( 2 , 3 , pairidx + 1 ) plt . tight_layout...scikit-learn.org/stable/auto_examples/tree/plot_iris_dtc.html -
Concatenating multiple feature extraction metho...
0s [CV 2/5; 2/18] START features__pca__n_components=1,...features__univ_select__k=1, svm__C=1 [CV 2/5; 2/18] END features__pca__n_components=1,...scikit-learn.org/stable/auto_examples/compose/plot_feature_union.html -
Compare Stochastic learning strategies for MLPC...
subplots ( 2 , 2 , figsize = ( 15 , 10 )) # load..."learning_rate_init" : 0.2 , }, { "solver" : "sgd"...scikit-learn.org/stable/auto_examples/neural_networks/plot_mlp_training_curves.html -
Swiss Roll And Swiss-Hole Reduction — sci...
n_components = 2 ) sr_tsne = manifold . TSNE ( n_components = 2 , perplexity...n_components = 2 ) sh_tsne = manifold . TSNE ( n_components = 2 , perplexity...scikit-learn.org/stable/auto_examples/manifold/plot_swissroll.html -
Features in Histogram Gradient Boosting Trees &...
showcasing all points except 2 and 6 in a real life setting...."recorded average" , linewidth = 2 , ax = ax ) for idx , max_iter...scikit-learn.org/stable/auto_examples/ensemble/plot_hgbt_regression.html -
Blind source separation using FastICA — s...
# Signal 2 : square signal s3 = signal . sawtooth ( 2 * np . pi...1 , 1 ], [ 0.5 , 2 , 1.0 ], [ 1.5 , 1.0 , 2.0 ]]) # Mixing matrix...scikit-learn.org/stable/auto_examples/decomposition/plot_ica_blind_source_separation.html -
Poisson regression and non-normal loss — ...
'Regular' 1217 R82 2 5.0 1 0.75000 B 6 2 52 50 B12 'Diesel' 54...plt . subplots ( nrows = 2 , ncols = 2 , figsize = ( 12 , 8 ))...scikit-learn.org/stable/auto_examples/linear_model/plot_poisson_regression_non_normal_loss.html -
Varying regularization in Multi-layer Perceptro...
n_features = 2 , n_redundant = 0 , n_informative = 2 , random_state.... random . RandomState ( 2 ) X += 2 * rng . uniform ( size =...scikit-learn.org/stable/auto_examples/neural_networks/plot_mlp_alpha.html