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Plot Ridge coefficients as a function of the re...
Shows the effect of collinearity in the coefficients of an estimator. Ridge Regression is the estimator used in this example. Each color represents a different feature of the coefficient vector, an...scikit-learn.org/stable/auto_examples/linear_model/plot_ridge_path.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 -
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 -
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 -
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 -
sklearn.neural_network — scikit-learn 1.7.1 doc...
Models based on neural networks. User guide. See the Neural network models (supervised) and Neural network models (unsupervised) sections for further details.scikit-learn.org/stable/api/sklearn.neural_network.html -
Permutation Importance with Multicollinear or C...
In this example, we compute the permutation_importance of the features to a trained RandomForestClassifier using the Breast cancer Wisconsin (diagnostic) dataset. The model can easily get about 97%...scikit-learn.org/stable/auto_examples/inspection/plot_permutation_importance_multicollinear.html -
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 -
cross_val_score — scikit-learn 1.7.1 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 -
precision_recall_curve — scikit-learn 1.7.1 doc...
Gallery examples: Visualizations with Display Objects Precision-Recallscikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_curve.html