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Building Better Predictive Models Part 1: Understanding the Principles

Application Area:
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.

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