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  1. ParameterGrid — scikit-learn 1.7.2 docume...

    'a' : 1 , 'b' : True }, { 'a' : 1 , 'b'...param_grid = { 'a' : [ 1 , 2 ], 'b' : [ True ,...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.ParameterGrid.html
    Wed Nov 26 14:18:55 GMT 2025
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  2. balanced_accuracy_score — scikit-learn 1....

    1 , 0 , 0 , 1 , 0 ] >>> y_pred = [ 0 , 1 , 0 ,...each class. The best value is 1 and the worst value is 0 when...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.balanced_accuracy_score.html
    Wed Nov 26 14:18:54 GMT 2025
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  3. 9.2. Computational Performance — scikit-l...

    1.1. Bulk versus Atomic mode # In...data as more complex ones. 9.2.1. Prediction Latency # One of the...
    scikit-learn.org/stable/computing/computational_performance.html
    Wed Nov 26 14:18:54 GMT 2025
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  4. dcg_score — scikit-learn 1.7.2 documentation

    asarray ([[ 1 , 0 , 0 , 0 , 1 ]]) >>> # by...to have a score between 0 and 1. References Wikipedia entry for...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.dcg_score.html
    Wed Nov 26 14:18:54 GMT 2025
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  5. cohen_kappa_score — scikit-learn 1.7.2 do...

    which is a number between -1 and 1. The maximum value means complete...function computes Cohen’s kappa [1] , a score that expresses the...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.cohen_kappa_score.html
    Wed Nov 26 14:18:54 GMT 2025
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  6. power_transform — scikit-learn 1.7.2 docu...

    'box-cox' )) [[-1.332 -0.707] [ 0.256 -0.707] [ 1.076 1.414]] Warning...Available methods are: ‘yeo-johnson’ [1] , works with positive and negative...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.power_transform.html
    Fri Nov 21 09:29:38 GMT 2025
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  7. load_digits — scikit-learn 1.7.2 document...

    scikit-learn 1.3 Release Highlights for scikit-learn 1.3 Label Propagation...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.load_digits.html
    Wed Nov 26 14:18:55 GMT 2025
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  8. OneToOneFeatureMixin — scikit-learn 1.7.2...

    This mixin assumes there’s a 1-to-1 correspondence between input...shape [ 1 ] ... return self >>> X = np . array ([[ 1 , 2...
    scikit-learn.org/stable/modules/generated/sklearn.base.OneToOneFeatureMixin.html
    Wed Nov 26 14:18:54 GMT 2025
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  9. zero_one_loss — scikit-learn 1.7.2 docume...

    1 ], [ 1 , 1 ]]), np . ones (( 2 , 2...zero_one_loss >>> y_pred = [ 1 , 2 , 3 , 4 ] >>> y_true...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.zero_one_loss.html
    Wed Nov 26 14:18:54 GMT 2025
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  10. ParameterSampler — scikit-learn 1.7.2 doc...

    'a' : 1 }, ... { 'b' : 0.923223 , 'a' : 1 }, ......'b' : 1.878964 , 'a' : 2 }, ... { 'b' : 1.038159...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.ParameterSampler.html
    Wed Nov 26 14:18:55 GMT 2025
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