There are 3 different approaches to evaluate the quality of predictions of a model: Estimator score

This submodule contains functions that approximate the feature mappings that correspond to certain kernels, as they are used for example in support vector machines (see

sklearn.neighbors

For some applications the amount of examples, features (or both) and/or the speed at which they need to be processed are challenging for traditional

This is the class and function reference of scikit-learn. Please refer to the full user guide for further details, as the class and function raw specifications may

When performing classification you often want not only to predict the class label, but also obtain a probability of the respective label. This probability gives you

Warning All classifiers in scikit-learn do multiclass classification

Gaussian Processes (GP) are a generic supervised learning method designed to solve regression and probabilistic classification problems

If your number of features is high, it may be useful to reduce it with an unsupervised step prior to supervised steps. Many of the Unsupervised

The following are a set of methods intended for regression in which the target value is expected to be a linear combination of the input variables. In mathematical