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Overview of multiclass training meta-estimators...
tree classifier is working quite well. One-vs-one and the error-correcting...scikit-learn.org/stable/auto_examples/multiclass/plot_multiclass_overview.html -
Comparison of Calibration of Classifiers — scik...
Note that this split is quite unusual: the goal is to obtain...scikit-learn.org/stable/auto_examples/calibration/plot_compare_calibration.html -
Model-based and sequential feature selection — ...
It is quite remarkable considering that...scikit-learn.org/stable/auto_examples/feature_selection/plot_select_from_model_diabetes.html -
Getting Started — scikit-learn 1.4.2 documentation
Quite often, it is not clear what...scikit-learn.org/stable/getting_started.html -
1.9. Naive Bayes — scikit-learn 1.4.2 documenta...
Bayes classifiers have worked quite well in many real-world situations,...scikit-learn.org/stable/modules/naive_bayes.html -
2.2. Manifold learning — scikit-learn 1.4.2 doc...
scikit-learn.org/stable/modules/manifold.html -
feature_extraction.rst.txt
however the default values are quite reasonable (please see the :ref:`reference...of words representation is quite simplistic but surprisingly...scikit-learn.org/stable/_sources/modules/feature_extraction.rst.txt