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

Linear Discriminant Analysis (

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

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

sklearn.neighbors

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

Semi-supervised learning is a situation in which

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

Stochastic Gradient Descent (SGD) is a simple yet very efficient approach to discriminative learning of linear classifiers under convex loss functions

Support vector machines (SVMs) are a set of supervised learning methods used for