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Results 51 - 60 of 863 for test (0.09 sec)

  1. sklearn.covariance.LedoitWolf — scikit-learn 1....

    score (X_test[, y]) Compute the log-likelihood of X_test under the...: X_test array-like of shape (n_samples, n_features) Test data...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.LedoitWolf.html
    Thu May 09 23:01:25 UTC 2024
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  2. sklearn.model_selection.HalvingGridSearchCV — s...

    cross-validated score of the best_estimator. best_params_ dict Parameter...that gave the best results on the hold out data. best_index_ int...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.HalvingGridSearchCV.html
    Thu May 09 23:01:25 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
    Thu May 09 23:01:25 UTC 2024
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  4. sklearn.feature_selection.RFECV — scikit-learn ...

    test) splits as arrays of indices....ndarrays A dict with keys: split(k)_test_score ndarray of shape (n_s...
    scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFECV.html
    Thu May 09 23:01:25 UTC 2024
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  5. 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
    Thu May 09 23:01:25 UTC 2024
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  6. plot_release_highlights_1_4_0.ipynb

    X_test, y_train, y_test = train_test_split(X_adult,...(X_test)\nprint(f\"ROC AUC score is {roc_auc_score(y_test, y_decision)}\")"...
    scikit-learn.org/stable/_downloads/53490cdb42c3c07ba8cccd1c4ed4dca4/plot_release_highlights_1_4_0...
    Thu May 09 23:01:25 UTC 2024
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  7. sklearn.svm.NuSVC — scikit-learn 1.4.2 document...

    the mean accuracy on the given test data and labels. set_fit_request...(n_samples, n_features) or (n_samples_test, n_samples_train) For kernel=”precomputed”,...
    scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVC.html
    Thu May 09 23:01:25 UTC 2024
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  8. 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
    Thu May 09 23:01:25 UTC 2024
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  9. ensemble.rst.txt

    to est >>> mean_squared_error(y_test, est.predict(X_test)) 3.84......train_test_split >>> X_train, X_test, y_train, y_test = train_test_split(X,...
    scikit-learn.org/stable/_sources/modules/ensemble.rst.txt
    Thu May 09 23:01:24 UTC 2024
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  10. 1.5. Stochastic Gradient Descent — scikit-learn...

    SGDClassifier ()) est . fit ( X_train ) est . predict ( X_test ) If your...( X_train ) X_test = scaler . transform ( X_test ) # apply same...
    scikit-learn.org/stable/modules/sgd.html
    Thu May 09 23:01:25 UTC 2024
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