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Effect of transforming the targets in regressio...
In this example, we give an overview of TransformedTargetRegressor. We use two examples to illustrate the benefit of transforming the targets before learning a linear regression model. The first ex...scikit-learn.org/stable/auto_examples/compose/plot_transformed_target.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 -
Plot class probabilities calculated by the Voti...
Plot the class probabilities of the first sample in a toy dataset predicted by three different classifiers and averaged by the VotingClassifier. First, three exemplary classifiers are initialized (...scikit-learn.org/stable/auto_examples/ensemble/plot_voting_probas.html -
Train error vs Test error — scikit-learn 1.5.2 ...
Illustration of how the performance of an estimator on unseen data (test data) is not the same as the performance on training data. As the regularization increases the performance on train decrease...scikit-learn.org/stable/auto_examples/model_selection/plot_train_error_vs_test_error.html -
Test with permutations the significance of a cl...
This example demonstrates the use of permutation_test_score to evaluate the significance of a cross-validated score using permutations. Dataset: We will use the Iris plants dataset, which consists ...scikit-learn.org/stable/auto_examples/model_selection/plot_permutation_tests_for_classification.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 -
mutual_info_regression — scikit-learn 1.5.2 doc...
Gallery examples: Comparison of F-test and mutual informationscikit-learn.org/stable/modules/generated/sklearn.feature_selection.mutual_info_regression.html -
sklearn.feature_selection — scikit-learn 1.5.2 ...
Feature selection algorithms. These include univariate filter selection methods and the recursive feature elimination algorithm. User guide. See the Feature selection section for further details.scikit-learn.org/stable/api/sklearn.feature_selection.html -
fetch_lfw_people — scikit-learn 1.5.2 documenta...
Gallery examples: Faces recognition example using eigenfaces and SVMsscikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_lfw_people.html -
make_s_curve — scikit-learn 1.5.2 documentation
Gallery examples: Comparison of Manifold Learning methods t-SNE: The effect of various perplexity values on the shapescikit-learn.org/stable/modules/generated/sklearn.datasets.make_s_curve.html