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MACHINE LEARNING VARIABLE SELECTION AND ROOT CAUSE DISCOVERY BY CUMULATIVE PREDICTION

Abstract:

A sequence of models accumulates r-squared values for an increasing number of variables in order to quantify the importance of each variable to the prediction of a targeted yield or parametric response.