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Comparison of kernel ridge and Gaussian process...
This example illustrates differences between a kernel ridge regression and a Gaussian process regression. Both kernel ridge regression and Gaussian process regression are using a so-called “kernel ...scikit-learn.org/stable/auto_examples/gaussian_process/plot_compare_gpr_krr.html -
Joint feature selection with multi-task Lasso &...
The multi-task lasso allows to fit multiple regression problems jointly enforcing the selected features to be the same across tasks. This example simulates sequential measurements, each task is a t...scikit-learn.org/stable/auto_examples/linear_model/plot_multi_task_lasso_support.html -
Receiver Operating Characteristic (ROC) with cr...
This example presents how to estimate and visualize the variance of the Receiver Operating Characteristic (ROC) metric using cross-validation. ROC curves typically feature true positive rate (TPR) ...scikit-learn.org/stable/auto_examples/model_selection/plot_roc_crossval.html -
Feature transformations with ensembles of trees...
Documentation for Pipeline i Fitted Parameters...RandomTreesEmbedding ? Documentation for RandomTreesEmbedding...scikit-learn.org/stable/auto_examples/ensemble/plot_feature_transformation.html -
Column Transformer with Mixed Types — sci...
Documentation for Pipeline i Fitted Parameters...preprocessor: ColumnTransformer ? Documentation for preprocessor: ColumnTransformer...scikit-learn.org/stable/auto_examples/compose/plot_column_transformer_mixed_types.html -
Principal Component Analysis (PCA) on Iris Data...
This example shows a well known decomposition technique known as Principal Component Analysis (PCA) on the Iris dataset. This dataset is made of 4 features: sepal length, sepal width, petal length,...scikit-learn.org/stable/auto_examples/decomposition/plot_pca_iris.html -
Probabilistic predictions with Gaussian process...
This example illustrates the predicted probability of GPC for an RBF kernel with different choices of the hyperparameters. The first figure shows the predicted probability of GPC with arbitrarily c...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc.html -
Nested versus non-nested cross-validation ̵...
This example compares non-nested and nested cross-validation strategies on a classifier of the iris data set. Nested cross-validation (CV) is often used to train a model in which hyperparameters al...scikit-learn.org/stable/auto_examples/model_selection/plot_nested_cross_validation_iris.html -
Outlier detection with Local Outlier Factor (LO...
The Local Outlier Factor (LOF) algorithm is an unsupervised anomaly detection method which computes the local density deviation of a given data point with respect to its neighbors. It considers as ...scikit-learn.org/stable/auto_examples/neighbors/plot_lof_outlier_detection.html -
Plotting Learning Curves and Checking Models’ S...
In this example, we show how to use the class LearningCurveDisplay to easily plot learning curves. In addition, we give an interpretation to the learning curves obtained for a naive Bayes and SVM c...scikit-learn.org/stable/auto_examples/model_selection/plot_learning_curve.html