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

This example shows that imputing the missing values can give better results than discarding the samples containing any missing value. Imputing

The

In many real-world examples, there are many ways to extract features from a dataset. Often it is beneficial to combine several methods to obtain

This example shows the use of multi-output estimator to complete images. The goal is to predict the lower half of a face given its upper half

This example shows how to use cross_val_predict to visualize prediction errors.

An illustration of the isotonic regression on generated data. The isotonic regression finds a non-decreasing approximation of a function while minimizing the mean squared

Datasets can often contain components of that require different feature extraction and processing pipelines. This scenario might occur when:

An example illustrating the approximation of the feature map of an RBF kernel. It shows how to use

This example simulates a multi-label document classification problem. The dataset is generated randomly based on the following process: pick