JMP 13.2 Online Documentation (English)
Discovering JMP
Using JMP
Basic Analysis
Essential Graphing
Profilers
Design of Experiments Guide
Fitting Linear Models
Predictive and Specialized Modeling
Multivariate Methods
Quality and Process Methods
Reliability and Survival Methods
Consumer Research
Scripting Guide
JSL Syntax Reference
JMP iPad Help
JMP Interactive HTML
Capabilities Index
JMP 12 Online Documentation
Predictive and Specialized Modeling
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Predictor Screening
• The Predictor Screening Report
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The Predictor Screening Report
The report (
Ranked Column Contributions
) shows the list of predictors with their respective contributions and rank. Predictors with the highest contributions are likely to be important in predicting Y.
The Contribution column shows the contribution of each predictor to the bootstrap forest model. The Portion column in the report shows the percent contribution of each variable.
You can select the important predictors in the Predictor Screening report. Selecting the important predictors selects the corresponding columns in the data table, enabling you to easily enter these columns into the launch windows for modeling platforms. In this fashion, the Predictor Screening enhances the modeling process
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Help created on 9/19/2017