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Features in Histogram Gradient Boosting Trees —...
Histogram-Based Gradient Boosting(HGBT) models may be one of the most useful supervised learning models in scikit-learn. They are based on a modern gradient boosting implementation comparable to Li...scikit-learn.org/stable/auto_examples/ensemble/plot_hgbt_regression.html -
median_absolute_error — scikit-learn 1.7.2 docu...
Gallery examples: Effect of transforming the targets in regression model Common pitfalls in the interpretation of coefficients of linear modelsscikit-learn.org/stable/modules/generated/sklearn.metrics.median_absolute_error.html -
precision_recall_curve — scikit-learn 1.7.2 doc...
Gallery examples: Visualizations with Display Objects Precision-Recallscikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_curve.html -
Compare Stochastic learning strategies for MLPC...
This example visualizes some training loss curves for different stochastic learning strategies, including SGD and Adam. Because of time-constraints, we use several small datasets, for which L-BFGS ...scikit-learn.org/stable/auto_examples/neural_networks/plot_mlp_training_curves.html -
Multilabel classification using a classifier ch...
This example shows how to use ClassifierChain to solve a multilabel classification problem. The most naive strategy to solve such a task is to independently train a binary classifier on each label ...scikit-learn.org/stable/auto_examples/multioutput/plot_classifier_chain_yeast.html -
cross_val_predict — scikit-learn 1.7.2 document...
Gallery examples: Combine predictors using stacking Plotting Cross-Validated Predictionsscikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_predict.html -
mutual_info_classif — scikit-learn 1.7.2 docume...
Gallery examples: Selecting dimensionality reduction with Pipeline and GridSearchCVscikit-learn.org/stable/modules/generated/sklearn.feature_selection.mutual_info_classif.html -
mutual_info_regression — scikit-learn 1.7.2 doc...
Gallery examples: Comparison of F-test and mutual informationscikit-learn.org/stable/modules/generated/sklearn.feature_selection.mutual_info_regression.html -
cross_val_score — scikit-learn 1.7.2 documentation
Gallery examples: Lagged features for time series forecasting Model selection with Probabilistic PCA and Factor Analysis (FA) Imputing missing values with variants of IterativeImputer Imputing miss...scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_score.html -
Concatenating multiple feature extraction metho...
In many real-world examples, there are many ways to extract features from a dataset. Often it is beneficial to combine several methods to obtain good performance. This example shows how to use Feat...scikit-learn.org/stable/auto_examples/compose/plot_feature_union.html