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hamming_loss — scikit-learn 1.5.2 documentation
Gallery examples: Model Complexity Influencescikit-learn.org/stable/modules/generated/sklearn.metrics.hamming_loss.html -
confusion_matrix — scikit-learn 1.5.2 documenta...
Gallery examples: Release Highlights for scikit-learn 1.5 Visualizations with Display Objects Post-tuning the decision threshold for cost-sensitive learning Label Propagation digits active learningscikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix.html -
pairwise_kernels — scikit-learn 1.5.2 documenta...
Skip to main content Back to top Ctrl + K GitHub pairwise_kernels # sklearn.metrics.pairwise. pairwise_kernels ( X , ...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.pairwise_kernels.html -
polynomial_kernel — scikit-learn 1.5.2 document...
Skip to main content Back to top Ctrl + K GitHub polynomial_kernel # sklearn.metrics.pairwise. polynomial_kernel ( X ...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.polynomial_kernel.html -
f1_score — scikit-learn 1.5.2 documentation
Gallery examples: Probability Calibration curves Precision-Recall Semi-supervised Classification on a Text Datasetscikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html -
export_text — scikit-learn 1.5.2 documentation
Skip to main content Back to top Ctrl + K GitHub export_text # sklearn.tree. export_text ( decision_tree , * , featur...scikit-learn.org/stable/modules/generated/sklearn.tree.export_text.html -
min_pos — scikit-learn 1.5.2 documentation
Skip to main content Back to top Ctrl + K GitHub min_pos # sklearn.utils.arrayfuncs. min_pos ( X ) # Find the minimum...scikit-learn.org/stable/modules/generated/sklearn.utils.arrayfuncs.min_pos.html -
4. Inspection — scikit-learn 1.5.2 documentation
Predictive performance is often the main goal of developing machine learning models. Yet summarizing performance with an evaluation metric is often insufficient: it assumes that the evaluation metr...scikit-learn.org/stable/inspection.html -
11. Dispatching — scikit-learn 1.5.2 documentation
Array API support (experimental)- Example usage, Support for Array API-compatible inputs, Common estimator checks..scikit-learn.org/stable/dispatching.html -
Probability calibration of classifiers — scikit...
When performing classification you often want to predict not only the class label, but also the associated probability. This probability gives you some kind of confidence on the prediction. However...scikit-learn.org/stable/auto_examples/calibration/plot_calibration.html