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Results 121 - 130 of 727 for test (0.08 sec)

  1. sklearn.feature_selection.SequentialFeatureSele...

    evaluate the predictions on the test set. NOTE that when using a...An iterable yielding (train, test) splits as arrays of indices....
    scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SequentialFeatureSelector.html
    Sun May 19 20:00:39 UTC 2024
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  2. sklearn.ensemble.HistGradientBoostingClassifier...

    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.ensemble.HistGradientBoostingClassifier.html
    Sun May 19 20:00:39 UTC 2024
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  3. sklearn.svm.LinearSVC — scikit-learn 1.4.2 docu...

    vs the rest. It is possible to implement one vs the rest with SVC...the mean accuracy on the given test data and labels. set_fit_request...
    scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVC.html
    Sun May 19 20:00:39 UTC 2024
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  4. sklearn.linear_model.LassoLarsCV — scikit-learn...

    test) splits as arrays of indices....shape (n_samples, n_features) Test samples. For some estimators...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLarsCV.html
    Sun May 19 20:00:39 UTC 2024
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  5. sklearn.mixture.BayesianGaussianMixture — sciki...

    log-likelihood of new samples at test time. The shape depends on covariance_type...log-likelihood of new samples at test time. The shape depends on covariance_type...
    scikit-learn.org/stable/modules/generated/sklearn.mixture.BayesianGaussianMixture.html
    Sun May 19 20:00:39 UTC 2024
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  6. sklearn.linear_model.Perceptron — scikit-learn ...

    classification of text documents Out-of-core classification of text documents...the mean accuracy on the given test data and labels. set_fit_request...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.Perceptron.html
    Sun May 19 20:00:39 UTC 2024
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  7. sklearn.mixture.GaussianMixture — scikit-learn ...

    log-likelihood of new samples at test time. The shape depends on covariance_type...log-likelihood of new samples at test time. The shape depends on covariance_type...
    scikit-learn.org/stable/modules/generated/sklearn.mixture.GaussianMixture.html
    Sun May 19 20:00:39 UTC 2024
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  8. sklearn.model_selection.RandomizedSearchCV — sc...

    the attributes best_index_ , best_score_ and best_params_ will...param_gamma split0_test_score … rank_test_score ‘rbf’ 0.1 0.80...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.RandomizedSearchCV.html
    Sun May 19 20:00:39 UTC 2024
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  9. sklearn.ensemble.ExtraTreesClassifier — scikit-...

    max_leaf_nodes in best-first fashion. Best nodes are defined...the mean accuracy on the given test data and labels. set_fit_request...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesClassifier.html
    Sun May 19 20:00:39 UTC 2024
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  10. 1.17. Neural network models (supervised) — scik...

    transformation to test data >>> X_test = scaler . transform ( X_test ) An...apply the same scaling to the test set for meaningful results....
    scikit-learn.org/stable/modules/neural_networks_supervised.html
    Sun May 19 20:00:39 UTC 2024
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