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plot_release_highlights_1_4_0.py
decision_function(X_test) print(f"ROC AUC score is {roc_auc_score(y_test,...nsform(df) df_out # %% print(f"Output type: {type(df_out)}")...scikit-learn.org/stable/_downloads/c15cce0dbcd8722cb5638987eff985c0/plot_release_highlights_1_4_0.py -
NBC News Site Map
2003 TOPICS a-e f-j k-o p-s t-z AUTHORS a-e f-j k-o p-s t-z MORE...www.nbcnews.com/archive -
KFold — scikit-learn 1.5.0 documentation
print ( f "Fold { i } :" ) ... print ( f " Train: index=...train_index } " ) ... print ( f " Test: index= { test_index }...scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html -
plot_release_highlights_1_5_0.py
5") print(f"Custom score: {custom_score(y_test,...scoring=custom_scorer ).fit(X, y) print(f"Tuned decision threshold: {tu...scikit-learn.org/stable/_downloads/ba0cfc16d7953e1c2c6912b6beca1e91/plot_release_highlights_1_5_0.py -
ensemble.rst.txt
F(x_i))}{\partial F(x_i)} \right]_{F=F_{m - 1}}. .....\frac{\partial l(y_i, F(x_i))}{\partial F(x_i)} \right]_{F=F_{m - 1}}` is...scikit-learn.org/stable/_sources/modules/ensemble.rst.txt -
plot_release_highlights_1_5_0.ipynb
5\")\nprint(f\"Custom score: {custom_score(y_test,...scoring=custom_scorer\n).fit(X, y)\n\nprint(f\"Tuned decision threshold: {t...scikit-learn.org/stable/_downloads/ae2d0a2ad69c5df5b93e5ea5c87d56b2/plot_release_highlights_1_5_0... -
auto_examples_python.zip
randn(1000) f_test, _ = f_regression(X, y) f_test /= np.max(f_test)...with f_0, and negatively correlated with f_1 y = 5 * f_0 + np.sin(10...scikit-learn.org/stable/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip -
auto_examples_jupyter.zip
with f_0, and negatively correlated with f_1\ny = 5 * f_0 + np.sin(10...np.sin(10 * np.pi * f_0) - 5 * f_1 - np.cos(10 * np.pi * f_1) + noise"...scikit-learn.org/stable/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip -
model_evaluation.rst.txt
_precision_recall_f_measure_metrics: Precision, recall and F-measures...1_score>`_ (:math:`F_\beta` and :math:`F_1` measures) can be...scikit-learn.org/stable/_sources/modules/model_evaluation.rst.txt -
plot_release_highlights_1_4_0.ipynb
decision_function(X_test)\nprint(f\"ROC AUC score is {roc_auc_score(y_test,..."outputs": [], "source": [ "print(f\"Output type: {type(df_out)}\")"...scikit-learn.org/stable/_downloads/53490cdb42c3c07ba8cccd1c4ed4dca4/plot_release_highlights_1_4_0...