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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 -
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 -
Linear and Quadratic Discriminant Analysis with...
This example plots the covariance ellipsoids of each class and the decision boundary learned by LinearDiscriminantAnalysis(LDA) and QuadraticDiscriminantAnalysis(QDA). The ellipsoids display the do...scikit-learn.org/stable/auto_examples/classification/plot_lda_qda.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 -
Label Propagation digits: Demonstrating perform...
This example demonstrates the power of semisupervised learning by training a Label Spreading model to classify handwritten digits with sets of very few labels. The handwritten digit dataset has 179...scikit-learn.org/stable/auto_examples/semi_supervised/plot_label_propagation_digits.html -
Overview of multiclass training meta-estimators...
In this example, we discuss the problem of classification when the target variable is composed of more than two classes. This is called multiclass classification. In scikit-learn, all estimators su...scikit-learn.org/stable/auto_examples/multiclass/plot_multiclass_overview.html -
Label Propagation digits: Active learning — sci...
Demonstrates an active learning technique to learn handwritten digits using label propagation. We start by training a label propagation model with only 10 labeled points, then we select the top fiv...scikit-learn.org/stable/auto_examples/semi_supervised/plot_label_propagation_digits_active_learni... -
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 -
7.9. Transforming the prediction target (y) — s...
Transforming the prediction target ( y): These are transformers that are not intended to be used on features, only on supervised learning targets. See also Transforming target in regression if you ...scikit-learn.org/stable/modules/preprocessing_targets.html -
Compressive sensing: tomography reconstruction ...
This example shows the reconstruction of an image from a set of parallel projections, acquired along different angles. Such a dataset is acquired in computed tomography(CT). Without any prior infor...scikit-learn.org/stable/auto_examples/applications/plot_tomography_l1_reconstruction.html