Adventures in DM

Random Forest Imputation: One of the nice "extras" of the random forest algorithm (Breiman, 2001) is it's use for mixed ...

My favorite "go-to-first" modeling algorithm for a classification or regression task is  Gradient  Boosted Regression Trees (Fri...

Many models are built and deployed using a training/validation partitioning approach. Under this construct a data set is randomly split in t...

In the last post we looked at how to construct and evaluate a simple linear hypothesis test within the frame work of logistic regression (or...

Returning to our example from the last post, within the framework of a generalized linear model, one way to statistically test if there are ...

We will be using the data from the 1998 KDD Cup in the next couple of posts - at least a couple of the columns- which we will re-purpose.  ...

This blog will be an outlet to write about data mining and predictive modeling. I plan to explore and comment on the use of these discipline...