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Results 81 - 90 of 593 for test (0.07 sec)

  1. sklearn.datasets.load_iris — scikit-learn 1.4.2...

    (ROC) Nested versus non-nested cross-validation Nested versus...(ROC) with cross validation Test with permutations the significance...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.load_iris.html
    Sun May 19 20:00:39 UTC 2024
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  2. sklearn.multiclass.OneVsRestClassifier — scikit...

    the mean accuracy on the given test data and labels. set_params...the mean accuracy on the given test data and labels. In multi-label...
    scikit-learn.org/stable/modules/generated/sklearn.multiclass.OneVsRestClassifier.html
    Sun May 19 20:00:39 UTC 2024
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  3. sklearn.model_selection.cross_val_score — sciki...

    IterativeImputer Nested versus non-nested cross-validation Nested versus...splitting the dataset into train/test set. Only used in conjunction...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_score.html
    Sun May 19 20:00:39 UTC 2024
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  4. sklearn.covariance.EllipticEnvelope — scikit-le...

    the mean accuracy on the given test data and labels. score_samples...the mean accuracy on the given test data and labels. In multi-label...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.EllipticEnvelope.html
    Sun May 19 20:00:39 UTC 2024
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  5. sklearn.linear_model.LogisticRegressionCV — sci...

    scoring option on the given test data and labels. set_fit_request...scoring option on the given test data and labels. Parameters...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegressionCV.html
    Sun May 19 20:00:39 UTC 2024
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  6. sklearn.linear_model.RidgeClassifier — scikit-l...

    the mean accuracy on the given test data and labels. set_fit_request...the mean accuracy on the given test data and labels. In multi-label...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.RidgeClassifier.html
    Sun May 19 20:00:39 UTC 2024
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  7. sklearn.linear_model.ElasticNetCV — scikit-lear...

    are tested by cross-validation and the one giving the best prediction...An iterable yielding (train, test) splits as arrays of indices....
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNetCV.html
    Sun May 19 20:00:39 UTC 2024
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  8. sklearn.ensemble.GradientBoostingClassifier — s...

    X_test = X [: 2000 ], X [ 2000 :] >>> y_train , y_test = y...y_train ) >>> clf . score ( X_test , y_test ) 0.913... Methods apply...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html
    Sun May 19 20:00:39 UTC 2024
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  9. sklearn.neural_network.MLPRegressor — scikit-le...

    X_test , y_train , y_test = train_test_split ( X ,...-7.1...]) >>> regr . score ( X_test , y_test ) 0.4... Methods fit (X,...
    scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPRegressor.html
    Sun May 19 20:00:39 UTC 2024
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  10. sklearn.ensemble.AdaBoostRegressor — scikit-lea...

    n_features) Test samples. For some estimators...determine the prediction on a test set after each boost. Parameters...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostRegressor.html
    Sun May 19 20:00:39 UTC 2024
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