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MARS

Multivariate adaptive regression splines, introduced by Jerome Friedman in 1991, is a flexible nonparametric regression method that automatically models nonlinearities and interactions by combining piecewise-linear 'hinge' functions. It builds the model in a forward stagewise pass that adds basis functions where they help most, then prunes back the overgrown model, yielding an interpretable additive-plus-interaction form that adapts its complexity to the data.

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Multivariate Adaptive Regression Splines (MARS)

Rekod kaedah taksonomik · ml-model / machine-learning

Friedman, J. H. (1991). Multivariate adaptive regression splines. The Annals of Statistics, 19(1), 1–67. · DOI 10.1214/aos/1176347963

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Same method familyDecision Treemachine-suggested · Relational suggestion, not evidence.Same method familyGeneralized Additive Modelmachine-suggested · Relational suggestion, not evidence.Same method familyGradient Boostingmachine-suggested · Relational suggestion, not evidence.Same method familyRegression Splinesmachine-suggested · Relational suggestion, not evidence.