Skip to content

Classification #
Find similar titles

In Machine learning and Statistics, classification (분류) is the problem of identifying to which of a set of categories (sub-populations) a new observation belongs, on the basis of a training set of data containing observations (or instances) whose category membership is known. (

For Unsupervised learning, See Cluster analysis. And there are Binary classification, Multiclass classification. When Binary classification, we can evaluate the precision by ROC curve.

Examples of classification algorithms


Incoming Links #

Related Datasets #

Related Articles #

Related Codes #

Suggested Pages #