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We present a novel method for controlling extrapolation in the predictionprofiler in the JMP software. The prediction profiler is a graphical tool forexploring high dimensional prediction surfaces for statistical and machinelearning models. The profiler contains interactive cross-sectional views, orprofile traces, of the prediction surface of a model. Our method helps usersavoid exploring predictions that should be considered extrapolation. It alsoperforms optimization over a constrained factor region that avoidsextrapolation using a genetic algorithm. In simulations and real worldexamples, we demonstrate how optimal factor settings without constraint in theprofiler are frequently extrapolated, and how extrapolation control helps avoidthese solutions with invalid factor settings that may not be useful to theuser.

A Method for Controlling Extrapolation when Visualizing and Optimizing the Prediction Profiles of Statistical and Machine Learning Models