Characterization, Discrimination & Regression

What’s the difference between Characterization, Discrimination & Regression

Characterization – This is the process of summarizing general identifiable features in objects in a data set or class of interest.

Discrimination – This is the process of comparing the general identifiable features of objects in two different data sets or classes.

Regression – This is a prediction technique that is used to predict or fit a range of continuous or numeric variables given a specific data set.

Characterization, Discrimination & Regression
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