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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 -
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 -
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 -
Demonstration of multi-metric evaluation on cro...
Multiple metric parameter search can be done by setting the scoring parameter to a list of metric scorer names or a dict mapping the scorer names to the scorer callables. The scores of all the scor...scikit-learn.org/stable/auto_examples/model_selection/plot_multi_metric_evaluation.html -
Robust covariance estimation and Mahalanobis di...
This example shows covariance estimation with Mahalanobis distances on Gaussian distributed data. For Gaussian distributed data, the distance of an observation x_i to the mode of the distribution c...scikit-learn.org/stable/auto_examples/covariance/plot_mahalanobis_distances.html -
Comparison of the K-Means and MiniBatchKMeans c...
We want to compare the performance of the MiniBatchKMeans and KMeans: the MiniBatchKMeans is faster, but gives slightly different results (see Mini Batch K-Means). We will cluster a set of data, fi...scikit-learn.org/stable/auto_examples/cluster/plot_mini_batch_kmeans.html -
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 -
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