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Shapley Regression, also known as Shapley Value Regression, is the leading method for driver analysis. It calculates the importance of different predictors in explaining an…

Shapley Value regression is a technique for working out the relative importance of predictor variables in linear regression. Read more here.

Shapley regression has been gaining popularity in recent years and has been (re-)invented multiple times. However, relative weights, should be used instead.

Studies have shown that Shapley regression and Relative Weights provide surprisingly similar scores, despite being constructed in very different ways.