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Select Analyze > Predictive Modeling > Boosted Tree.
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Click OK.
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Click OK.
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Figure 6.4 Overall Statistics for Continuous Response
The Overall Statistics report provides the R-square and RMSE for the boosted tree model. The R-square for the validation set is 0.603. The RMSE for the validation set is about 5.48.
You are interested in obtaining a model-independent indication of the important predictors for Percent body fat.
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Click the red triangle next to Prediction Profiler and select Assess Variable Importance > Independent Uniform Inputs.
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Note: Because Assess Variable Importance uses randomization, your results will not exactly match those in Figure 6.5.
Figure 6.5 Summary Report for Variable Importance
The Summary Report shows that Abdomen circumference (cm) is the most important predictor of Percent body fat.