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Visualizing cross-validation behavior in scikit...
scikit-learn 1.4 Release Highlights for scikit-learn 1.4 Gallery...10 ) percentiles_classes = [ 0.1 , 0.3 , 0.6 ] y = np . hstack...scikit-learn.org/stable/auto_examples/model_selection/plot_cv_indices.html -
Compare the effect of different scalers on data...
cutoffs_X1 [ 1 ]], axis = 1 ) plot_distribution ( axarr [ 1 ], X [ non_outliers_mask...left , width = 0.1 , 0.22 bottom , height = 0.1 , 0.7 bottom_h...scikit-learn.org/stable/auto_examples/preprocessing/plot_all_scaling.html -
Comparing random forests and the multi-output m...
RandomState ( 1 ) X = np . sort ( 200 * rng . rand ( 600 , 1 ) - 100...( y_test [:, 0 ], y_test [:, 1 ], edgecolor = "k" , c = "navy"...scikit-learn.org/stable/auto_examples/ensemble/plot_random_forest_regression_multioutput.html -
Label Propagation digits: Demonstrating perform...
support 0 1.00 1.00 1.00 27 1 0.82 1.00 0.90 37 2 1.00 0.86 0.92...0.92 28 3 1.00 0.80 0.89 35 4 0.92 1.00 0.96 24 5 0.74 0.94 0.83...scikit-learn.org/stable/auto_examples/semi_supervised/plot_label_propagation_digits.html -
Novelty detection with Local Outlier Factor (LO...
n_neighbors) is typically set 1) greater than the minimum number...novelty = True , contamination = 0.1 ) clf . fit ( X_train ) # DO NOT...scikit-learn.org/stable/auto_examples/neighbors/plot_lof_novelty_detection.html -
Multi-class AdaBoosted Decision Trees — scikit-...
as depicted by Figure 1 in Zhu et al [ 1 ] . The core principle...of trees" : range ( 1 , n_estimators + 1 ), "AdaBoost" : [ m...scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_multiclass.html -
神木隆之介がハマり役だった主演作品ランキング！3位「探偵学園Q」、2位「ゴジラ-1.0」、1位...
ラ長田、1位は？ 10 一番好きな医療ドラマランキング！3位「コード・ブルー」、2位「ドクターX」、1位は… 1 最高に...これは外せないと思う2025年1月スタートの深夜アニメは？ 話題の記事ランキング いまトピ 1. 『ドラマ』歴代ワースト1位「ずっと共感できなかった」「主人公が暗すぎた」...ranking.goo.ne.jp/column/10054/ -
Comparing anomaly detection algorithms for outl...
1 ], s = 10 , color = colors [( y_pred + 1 ) // 2 ])..., kernel = "rbf" , gamma = 0.1 )), ( "One-Class SVM (SGD)" ,...scikit-learn.org/stable/auto_examples/miscellaneous/plot_anomaly_comparison.html -
SVM: Maximum margin separating hyperplane — sci...
levels = [ - 1 , 0 , 1 ], alpha = 0.5 , linestyles...support_vectors_ [:, 1 ], s = 100 , linewidth = 1 , facecolors = "none"...scikit-learn.org/stable/auto_examples/svm/plot_separating_hyperplane.html -
HuberRegressor vs Ridge on dataset with strong ...
) epsilon_values = [ 1 , 1.5 , 1.75 , 1.9 ] for k , epsilon in...n_samples = 20 , n_features = 1 , random_state = 0 , noise = 4.0...scikit-learn.org/stable/auto_examples/linear_model/plot_huber_vs_ridge.html