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  1. 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
    Mon Nov 10 15:11:15 UTC 2025
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  2. chi2 — scikit-learn 1.7.2 documentation

    2 , 2 ]) >>> chi2_stats , p_values...[ 5 , 4 , 1 ], ... [ 6 , 6 , 2 ], ... [ 1 , 4 , 0 ], ... [ 0...
    scikit-learn.org/stable/modules/generated/sklearn.feature_selection.chi2.html
    Mon Nov 10 15:11:19 UTC 2025
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  3. mean_squared_error — scikit-learn 1.7.2 documen...

    2 , 7 ] >>> y_pred = [ 2.5 , 0.0 , 2 , 8 ] >>> mean_squared_error...]] >>> y_pred = [[ 0 , 2 ],[ - 1 , 2 ],[ 8 , - 5 ]] >>> mean_squared_error...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_squared_error.html
    Mon Nov 10 15:11:15 UTC 2025
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  4. mean_absolute_error — scikit-learn 1.7.2 docume...

    2 , 7 ] >>> y_pred = [ 2.5 , 0.0 , 2 , 8 ] >>> mean_absolute_error...]] >>> y_pred = [[ 0 , 2 ], [ - 1 , 2 ], [ 8 , - 5 ]] >>> mean_absolute_error...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_absolute_error.html
    Mon Nov 10 15:11:18 UTC 2025
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  5. DictVectorizer — scikit-learn 1.7.2 documentation

    'bar' : 2 }, { 'foo' : 3 , 'baz' : 1 }]...fit_transform ( D ) >>> X array([[2., 0., 1.], [0., 1., 3.]]) >>>...
    scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.DictVectorizer.html
    Mon Nov 10 15:11:19 UTC 2025
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  6. ConstantKernel — scikit-learn 1.7.2 documentation

    x_2) = constant\_value \;\forall\; x_1, x_2\] Adding a...constant_value = 2 ) is the same as: kernel = RBF () + 2 Read more in...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.ConstantKernel.html
    Mon Nov 10 15:11:19 UTC 2025
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  7. DummyRegressor — scikit-learn 1.7.2 documentation

    2.0 , 3.0 , 4.0 ]) >>> y = np . array ([ 2.0 , 3.0 ,...determination R^2 of the prediction. The coefficient R^2 is defined...
    scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyRegressor.html
    Mon Nov 10 15:11:15 UTC 2025
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  8. RandomForestRegressor — scikit-learn 1.7.2 docu...

    float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...= None , min_samples_split = 2 , min_samples_leaf = 1 , min_...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestRegressor.html
    Mon Nov 10 15:11:15 UTC 2025
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  9. Choosing an Installation Method

    2 OpenSearch : 3.3.2 Java : 21 or later Docker...separately. Install OpenSearch 3.3.2 Install required plugins Edit...
    fess.codelibs.org/15.3/install/install.html
    Mon Nov 10 02:36:07 UTC 2025
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  10. SVR — scikit-learn 1.7.2 documentation

    float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...for Support Vector Machines [ 2 ] Platt, John (1999). “Probabilistic...
    scikit-learn.org/stable/modules/generated/sklearn.svm.SVR.html
    Sun Nov 09 07:16:24 UTC 2025
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