A common but weak approach for multi-class logistic regression is to use a technique called one-versus-all (OVA). Suppose you have three classes to predict. In OVA you use regular binary ...

In our example of simple linear regression 1, we saw how one continuous variable (weight) could be predicted on the basis of another continuous variable (height).To illustrate classification, here ...

This month we'll look at classification and regression trees (CART), a simple but powerful approach to prediction 3. Unlike logistic and linear regression, CART does not develop a prediction equation.

How Do You Interpret the R-Squared of a Linear Regression? R 2 ( R-squared ) is a statistical measure of the goodness of fit of a linear regression model (from 0.00 to 1.00), also known as the ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Compared to standard linear ...