An example using a one-class SVM for novelty detection.

Find the optimal separating hyperplane using an SVC for classes that are unbalanced. We first find the separating plane with a plain

Demonstrates an active learning technique to learn handwritten digits using label propagation. We start by training a label propagation model

The PCA does an unsupervised dimensionality reduction, while the logistic regression does the prediction. We use a GridSearchCV to

This example studies the scalability profile of approximate 10-neighbors queries using the LSHForest with n_estimators=20 and

This example plots the ellipsoids obtained from a toy dataset (mixture of three Gaussians) fitted by the Baye

Plot decision function of a weighted dataset, where the size of points is proportional to its weight. The sample weighting rescales the C parameter, which means

This example demonstrates the problems of underfitting and overfitting and how we can use linear regression with polynomial features to approximate nonlinear functions

Simple usage of Pipeline that runs successively a univariate feature selection with anova and then a C-SVM of the selected features.

Making sure that each Feature has approximately the same scale can be a crucial preprocessing step. However, when data contains outliers,