Understanding the Principles for Building Predictive Models
Statistics, Predictive Modeling and Data Mining
Learn about model types and techniques; the roles of test, training and validation data; and how to compare models. This session is the first in a two-part series. This session, Part 1, covers the principles of predictive modeling. Part 2 uses case studies to demonstrate the application of principles using JMP and JMP Pro.
This webinar covers: Defining models and their purposes; how and why to prevent overfitting; basics of using test, training and validation data; different model types; and what to look for when comparing models.