Discriminative model

Discriminative models, also referred to as conditional models, are a class of models frequently used for classification. They are typically used to assign labels, such as pass/fail, win/lose, alive/dead or healthy/sick, to existing datapoints.

Types of discriminative models include logistic regression (LR), conditional random fields (CRFs), decision trees among many others. Typical generative model approaches include naive Bayes classifiers, Gaussian mixture models, variational autoencoders, generative adversarial networks and others.