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TunedThresholdClassifierCV — scikit-learn 1.7.2...
Gallery examples: Post-tuning the decision threshold for cost-sensitive learning Post-hoc tuning the cut-off point of decision function Release Highlights for scikit-learn 1.5scikit-learn.org/stable/modules/generated/sklearn.model_selection.TunedThresholdClassifierCV.html -
Tags — scikit-learn 1.7.2 documentation
Gallery examples: Release Highlights for scikit-learn 1.6scikit-learn.org/stable/modules/generated/sklearn.utils.Tags.html -
TargetTags — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version TargetTags # class sklearn.utils. TargetTags ( requir...scikit-learn.org/stable/modules/generated/sklearn.utils.TargetTags.html -
Clustering — scikit-learn 1.7.2 documentation
Examples concerning the sklearn.cluster module. A demo of K-Means clustering on the handwritten digits data A demo of structured Ward hierarchical clustering on an image of coins A demo of the mean...scikit-learn.org/stable/auto_examples/cluster/index.html -
Decomposition — scikit-learn 1.7.2 documentation
Examples concerning the sklearn.decomposition module. Blind source separation using FastICA Comparison of LDA and PCA 2D projection of Iris dataset Faces dataset decompositions Factor Analysis (wit...scikit-learn.org/stable/auto_examples/decomposition/index.html -
Preprocessing — scikit-learn 1.7.2 documentation
Examples concerning the sklearn.preprocessing module. Compare the effect of different scalers on data with outliers Comparing Target Encoder with Other Encoders Demonstrating the different strategi...scikit-learn.org/stable/auto_examples/preprocessing/index.html -
Inspection — scikit-learn 1.7.2 documentation
Examples related to the sklearn.inspection module. Common pitfalls in the interpretation of coefficients of linear models Failure of Machine Learning to infer causal effects Partial Dependence and ...scikit-learn.org/stable/auto_examples/inspection/index.html -
SelectPercentile — scikit-learn 1.7.2 documenta...
Gallery examples: Feature agglomeration vs. univariate selection Column Transformer with Mixed Types Introducing the set_output API SVM-Anova: SVM with univariate feature selectionscikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectPercentile.html -
DummyClassifier — scikit-learn 1.7.2 documentation
Gallery examples: Multi-class AdaBoosted Decision Trees Post-tuning the decision threshold for cost-sensitive learning Detection error tradeoff (DET) curve Class Likelihood Ratios to measure classi...scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyClassifier.html -
clone — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version clone # sklearn.base. clone ( estimator , * , safe = ...scikit-learn.org/stable/modules/generated/sklearn.base.clone.html