Event Title

Session 5: Tools - JMP and the Predictive Modeling Workflow

Presenter Information

Kevin Potcner, JMP

Location

University Student Union: Clark Room 262 B

Start Date

12-2-2018 2:00 PM

End Date

12-2-2018 3:00 PM

Description

A typical real-world predictive modeling workflow includes (sometimes iteratively) data cleaning and exploration, model fitting, model validation, model comparison, final model selection and deployment of the final predictive model. In this session we illustrate the predictive modeling workflow by analyzing a real dataset. After data preparation and initial exploration, we will create a number of predictive models such as multiple linear regression, regression tree, partition based methods, Neural Net, among others. We will “publish” models to the Formula Depot, and explore and select the best model(s) using the Prediction Profiler and JMP’s Model Comparison tool.

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Feb 12th, 2:00 PM Feb 12th, 3:00 PM

Session 5: Tools - JMP and the Predictive Modeling Workflow

University Student Union: Clark Room 262 B

A typical real-world predictive modeling workflow includes (sometimes iteratively) data cleaning and exploration, model fitting, model validation, model comparison, final model selection and deployment of the final predictive model. In this session we illustrate the predictive modeling workflow by analyzing a real dataset. After data preparation and initial exploration, we will create a number of predictive models such as multiple linear regression, regression tree, partition based methods, Neural Net, among others. We will “publish” models to the Formula Depot, and explore and select the best model(s) using the Prediction Profiler and JMP’s Model Comparison tool.