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  1. Model Complexity Influence — scikit-learn 1.7.0...

    return_X_y = True ) train_size = 0.8 elif case == "classification"...data.""" if case == "regression" : X , y = datasets . load_diabetes...
    scikit-learn.org/stable/auto_examples/applications/plot_model_complexity_influence.html
    Thu Jul 03 11:42:05 UTC 2025
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  2. Class Likelihood Ratios to measure classificati...

    axs = plt . subplots ( nrows = 3 , ncols = 2 , figsize = ( 15...response_method = "predict" , alpha = 0.5 , ax = ax , ) scatter = disp ....
    scikit-learn.org/stable/auto_examples/model_selection/plot_likelihood_ratios.html
    Thu Jul 03 11:42:05 UTC 2025
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  3. Precision-Recall — scikit-learn 1.7.0 documenta...

    ) = plt . plot ( x [ y >= 0 ], y [ y >= 0 ], color = "gray"...name = "LinearSVC" , plot_chance_level = True , despine = True...
    scikit-learn.org/stable/auto_examples/model_selection/plot_precision_recall.html
    Thu Jul 03 11:42:06 UTC 2025
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  4. goo

    <input type="hidden" name="news_id" value=""> <input type="hidden"...type="hidden" name="cp_id" value=""> <input type="hidden" name="inview_param"...
    www.goo.ne.jp/
    Sun Jul 06 00:40:34 UTC 2025
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  5. Prediction Latency — scikit-learn 1.7.0 documen...

    SGDRegressor(alpha=0.01, l1_ratio=0.25, penalty='elasticnet', tol=0.0001)...n_features = n_features , noise = noise , coef = True ) random_seed...
    scikit-learn.org/stable/auto_examples/applications/plot_prediction_latency.html
    Thu Jul 03 11:42:05 UTC 2025
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  6. Selecting the number of clusters with silhouett...

    marker = "." , s = 30 , lw = 0 , alpha = 0.7 , c = colors ,...1 ], marker = "o" , c = "white" , alpha = 1 , s = 200 , edgecolor...
    scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_silhouette_analysis.html
    Thu Jul 03 11:42:05 UTC 2025
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  7. Compare cross decomposition methods — scikit-le...

    PLSRegression n = 1000 q = 3 p = 10 X = np . random . normal ( size = n *...size = n ) l2 = np . random . normal ( size = n ) latents = np...
    scikit-learn.org/stable/auto_examples/cross_decomposition/plot_compare_cross_decomposition.html
    Thu Jul 03 11:42:06 UTC 2025
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  8. IsolationForest example — scikit-learn 1.7.0 do...

    outliers = rng . uniform ( low =- 4 , high = 4 , size = ( n_outliers...scatter = plt . scatter ( X [:, 0 ], X [:, 1 ], c = y , s = 20 ,...
    scikit-learn.org/stable/auto_examples/ensemble/plot_isolation_forest.html
    Thu Jul 03 11:42:05 UTC 2025
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  9. dict_learning — scikit-learn 1.7.0 documentation

    max_iter = 100 , tol = 1e-08 , method = 'lars' , n_jobs = None ,..., dict_init = None , code_init = None , callback = None , verbose...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.dict_learning.html
    Thu Jul 03 11:42:05 UTC 2025
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  10. A demo of K-Means clustering on the handwritten...

    name = "random" , data = data , labels = labels ) pca = PCA (...], marker = "x" , s = 169 , linewidths = 3 , color = "w" , zorder...
    scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_digits.html
    Thu Jul 03 11:42:05 UTC 2025
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