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  1. homogeneity_score — scikit-learn 1.7.2 document...

    2 ])) 1.000000 >>> print ( " %.6f...([ 0 , 0 , 1 , 1 ], [ 0 , 1 , 2 , 3 ])) 1.000000 Clusters that...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.homogeneity_score.html
    Tue Sep 23 15:14:21 UTC 2025
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  2. Decision Tree Regression — scikit-learn 1.7.2 d...

    "max_depth=2" , linewidth = 2 ) plt . plot ( X_test , y_2 , color..."max_depth=2" , ) plt . scatter ( y_2 [:, 0 ], y_2 [:, 1 ], c...
    scikit-learn.org/stable/auto_examples/tree/plot_tree_regression.html
    Tue Sep 23 15:14:21 UTC 2025
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  3. GaussianProcessClassifier — scikit-learn 1.7.2 ...

    2, and 5.1 from [RW2006] . Internally,...>>> gpc . predict_proba ( X [: 2 ,:]) array([[0.83548752, 0.03228706,...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessClassifier.html
    Tue Sep 23 15:14:23 UTC 2025
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  4. ward_tree — scikit-learn 1.7.2 documentation

    s)^2 + \frac{|v|+|t|} {T}d(v,t)^2 - \frac{|v|} {T}d(s,t)^2}\]...array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2 ], [ 4 , 4...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.ward_tree.html
    Tue Sep 23 15:14:21 UTC 2025
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  5. RBF SVM parameters — scikit-learn 1.7.2 documen...

    problem involving only 2 input features and 2 possible target classes...sub-sample the dataset to keep only 2 classes and make it a binary classification...
    scikit-learn.org/stable/auto_examples/svm/plot_rbf_parameters.html
    Tue Sep 23 15:14:21 UTC 2025
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  6. make_scorer — scikit-learn 1.7.2 documentation

    beta = 2 ) >>> ftwo_scorer make_scorer(fbeta_score,...response_method='predict', beta=2) >>> from sklearn.model_selection...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.make_scorer.html
    Tue Sep 23 15:14:21 UTC 2025
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  7. 【簡単!!納豆レシピ2つ】山形のだし風味薬味納豆と、納豆オムレツ

    2個にマヨネーズを小さじ1ほどと牛乳大さじ1、塩少々を混ぜる。 ②フライパンにサラダ油を熱し...掲載日 8 分前 【簡単!!納豆レシピ2つ】山形のだし風味薬味納豆と、納豆オムレツ 料理コラムニスト 山本ゆりさんのブロ...
    www.buzzfeed.com/jp/tastyjapan/yamamoto-yuri-2025-09-12
    Sat Sep 20 00:12:31 UTC 2025
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  8. FeatureHasher and DictVectorizer Comparison — s...

    'is': 2, 'one': 2, 'example': 1, 'but': 1,...FeatureHasher is 2**20. Here we set n_features = 2**18 to illustrate...
    scikit-learn.org/stable/auto_examples/text/plot_hashing_vs_dict_vectorizer.html
    Tue Sep 23 15:14:21 UTC 2025
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  9. Plot classification probability — scikit-learn ...

    figsize = ( 4 * 2.2 , n_classifiers * 2.2 ), ) evaluation_results...load_iris () X = iris . data [:, 0 : 2 ] # we only take the first two...
    scikit-learn.org/stable/auto_examples/classification/plot_classification_probability.html
    Tue Sep 23 15:14:21 UTC 2025
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  10. Successive Halving Iterations — scikit-learn 1....

    "min_samples_split" : randint ( 2 , 11 ), "bootstrap" : [ True ,...param_distributions = param_dist , factor = 2 , random_state = rng ) rsh . fit...
    scikit-learn.org/stable/auto_examples/model_selection/plot_successive_halving_iterations.html
    Tue Sep 23 15:14:23 UTC 2025
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