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Results 611 - 620 of 1,074 for store (1.06 sec)

  1. getting_started.rst.txt

    >>> result['test_score'] # r_squared score is high because dataset...sets, and compute the accuracy score of a pipeline on the test data::...
    scikit-learn.org/stable/_sources/getting_started.rst.txt
    Sat Oct 11 07:51:27 UTC 2025
      10.3K bytes
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  2. MultinomialNB — scikit-learn 1.7.2 documentation

    score ( X , y , sample_weight = None...default=None Sample weights. Returns : score float Mean accuracy of self.predict(X)...
    scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.MultinomialNB.html
    Sat Oct 11 07:51:27 UTC 2025
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  3. Release Highlights for scikit-learn 0.22 — scik...

    score ( X_test , y_test ) 0.9473684210526315...classification # The roc_auc_score function can also be used in...
    scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_22_0.html
    Sat Oct 11 07:51:27 UTC 2025
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  4. hamming_loss — scikit-learn 1.7.2 documentation

    also accuracy_score Compute the accuracy score. By default, the...jaccard_score Compute the Jaccard similarity coefficient score. zero_one_loss...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.hamming_loss.html
    Sat Oct 11 07:51:27 UTC 2025
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  5. OOB Errors for Random Forests — scikit-learn 1....

    oob_score = True , max_features = "sqrt"...max_features = "log2" , oob_score = True , random_state = RANDOM_STATE...
    scikit-learn.org/stable/auto_examples/ensemble/plot_ensemble_oob.html
    Sat Oct 11 07:51:25 UTC 2025
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  6. cross_validate — scikit-learn 1.7.2 documentation

    dict are: test_score The score array for test scores on each cv split....multiple scoring metrics in the scoring parameter. train_score The...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_validate.html
    Sat Oct 11 07:51:27 UTC 2025
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  7. plot_multi_metric_evaluation.zip

    sample_score_mean - sample_score_std, sample_score_mean + sample_score_std,...sample_score_mean - sample_score_std,\n sample_score_mean + sample_score_std,\n...
    scikit-learn.org/stable/_downloads/535778bfbc9b4881da3e662bc2ea8484/plot_multi_metric_evaluation.zip
    Mon Oct 06 22:31:18 UTC 2025
      8.8K bytes
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  8. Probability Calibration curves — scikit-learn 1...

    precision_score , recall_score , f1_score ]: score_name = metric...precision_score , recall_score , f1_score ]: score_name = metric...
    scikit-learn.org/stable/auto_examples/calibration/plot_calibration_curve.html
    Sat Oct 11 07:51:25 UTC 2025
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  9. plot_multi_metric_evaluation.py

    sample_score_mean - sample_score_std, sample_score_mean + sample_score_std,...: range(2, 403, 20)}, scoring=scoring, refit="AUC", n_jobs=2,...
    scikit-learn.org/stable/_downloads/dedbcc9464f3269f4f012f4bfc7d16da/plot_multi_metric_evaluation.py
    Mon Oct 06 22:31:16 UTC 2025
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  10. Shrinkage covariance estimation: LedoitWolf vs ...

    score ( X_test ) for s in shrinkages...loglik_lw = lw . fit ( X_train ) . score ( X_test ) # OAS coefficient...
    scikit-learn.org/stable/auto_examples/covariance/plot_covariance_estimation.html
    Sat Oct 11 07:51:26 UTC 2025
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