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Robust linear model estimation using RANSAC — s...
In this example, we see how to robustly fit a linear model to faulty data using the RANSAC algorithm. The ordinary linear regressor is sensitive to outliers, and the fitted line can easily be skewe...scikit-learn.org/stable/auto_examples/linear_model/plot_ransac.html -
Lasso, Lasso-LARS, and Elastic Net paths — scik...
This example shows how to compute the “paths” of coefficients along the Lasso, Lasso-LARS, and Elastic Net regularization paths. In other words, it shows the relationship between the regularization...scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_lasso_lars_elasticnet_path.html -
MNIST classification using multinomial logistic...
Here we fit a multinomial logistic regression with L1 penalty on a subset of the MNIST digits classification task. We use the SAGA algorithm for this purpose: this a solver that is fast when the nu...scikit-learn.org/stable/auto_examples/linear_model/plot_sparse_logistic_regression_mnist.html -
Gaussian Processes regression: basic introducto...
A simple one-dimensional regression example computed in two different ways: A noise-free case, A noisy case with known noise-level per datapoint. In both cases, the kernel’s parameters are estimate...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_noisy_targets.html -
HuberRegressor vs Ridge on dataset with strong ...
Fit Ridge and HuberRegressor on a dataset with outliers. The example shows that the predictions in ridge are strongly influenced by the outliers present in the dataset. The Huber regressor is less ...scikit-learn.org/stable/auto_examples/linear_model/plot_huber_vs_ridge.html -
Class Likelihood Ratios to measure classificati...
This example demonstrates the class_likelihood_ratios function, which computes the positive and negative likelihood ratios ( LR+, LR-) to assess the predictive power of a binary classifier. As we w...scikit-learn.org/stable/auto_examples/model_selection/plot_likelihood_ratios.html -
Comparison between grid search and successive h...
This example compares the parameter search performed by HalvingGridSearchCV and GridSearchCV. We first define the parameter space for an SVC estimator, and compute the time required to train a Halv...scikit-learn.org/stable/auto_examples/model_selection/plot_successive_halving_heatmap.html -
Compare the effect of different scalers on data...
Feature 0 (median income in a block) and feature 5 (average house occupancy) of the California Housing dataset have very different scales and contain some very large outliers. These two characteris...scikit-learn.org/stable/auto_examples/preprocessing/plot_all_scaling.html -
SVM-Anova: SVM with univariate feature selectio...
This example shows how to perform univariate feature selection before running a SVC (support vector classifier) to improve the classification scores. We use the iris dataset (4 features) and add 36...scikit-learn.org/stable/auto_examples/svm/plot_svm_anova.html -
Principal Component Regression vs Partial Least...
This example compares Principal Component Regression(PCR) and Partial Least Squares Regression(PLS) on a toy dataset. Our goal is to illustrate how PLS can outperform PCR when the target is strongl...scikit-learn.org/stable/auto_examples/cross_decomposition/plot_pcr_vs_pls.html