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sklearn.metrics.f1_score — scikit-learn 1.4.2 d...
also known as balanced F-score or F-measure. The F1 score can...y_pred ), f-score is undefined. In such cases, by default f-score...scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html -
4.2. Permutation feature importance — scikit-le...
print ( f " { diabetes . feature_names [ i ] : <8 } " ... f " { r...print ( f " { diabetes . feature_names [ i ] : <8 } " ... f " { r...scikit-learn.org/stable/modules/permutation_importance.html -
1.5. Stochastic Gradient Descent — scikit-learn...
f(x_i)) = \max(0, 1 - y_i f(x_i))^2\) if \(y_i f(x_i) >...Classification. \(L(y_i, f(x_i)) = \max(0, 1 - y_i f(x_i))\) . Perceptron:...scikit-learn.org/stable/modules/sgd.html -
sklearn.model_selection.permutation_test_score ...
) >>> print ( f "Original Score: { score : .3f...Score: 0.810 >>> print ( ... f "Permutation Scores: { permutation_scores...scikit-learn.org/stable/modules/generated/sklearn.model_selection.permutation_test_score.html -
sklearn.model_selection.TimeSeriesSplit — sciki...
print ( f "Fold { i } :" ) ... print ( f " Train: index=...)): ... print ( f "Fold { i } :" ) ... print ( f " Train: index=...scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html -
sklearn.model_selection.KFold — scikit-learn 1....
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 -
1.16. Probability calibration — scikit-learn 1....
(y_i - \hat{f}_i)^2\] subject to \(\hat{f}_i \geq \hat{f}_j\) whenever...: \[p(y_i = 1 | f_i) = \frac{1}{1 + \exp(A f_i + B)} \,,\] where...scikit-learn.org/stable/modules/calibration.html -
sklearn.datasets.dump_svmlight_file — scikit-le...
data will be written to f. f should be opened in binary mode....dump_svmlight_file ( X , y , f , * , zero_based = True , comment...scikit-learn.org/stable/modules/generated/sklearn.datasets.dump_svmlight_file.html -
sklearn.model_selection.ShuffleSplit — scikit-l...
print ( f "Fold { i } :" ) ... print ( f " Train: index=...)): ... print ( f "Fold { i } :" ) ... print ( f " Train: index=...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ShuffleSplit.html -
sklearn.model_selection.StratifiedGroupKFold — ...
print ( f "Fold { i } :" ) ... print ( f " Train: index=...print ( f " Test: index= { test_index } " ) ... print ( f " group=...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedGroupKFold.html