By working with the attached data sets, you'll learn to build better and more useful models with predictive modeling techniques such as regression, neural networks and decision trees. The focus will be on getting the most out of JMP with a few examples where JMP PRO is able to deliver additional value. You'll learn to partition your data into training, validation (tuning) and test sets to prevent over fitting. And you'll see how to use comparison techniques - especially plots of actual vs. predicted values by validation group - to find the best predictive model. This webcast is for JMP users interested in learning how predictive modeling can help them use the data they have to make better predictions.
Response data will include binary responses (pass/fail, accept/reject, hit/miss, etc.), continuous responses (including proportions between 0 and 1), and categorical responses (different types of cyber attacks). Independent variables will include continuous and/or categorical types.
Related webcasts from the Mastering JMP Series include: