no code implementations • 19 Nov 2022 • Matias D. Cattaneo, Jason M. Klusowski, Peter M. Tian
Decision tree learning is increasingly being used for pointwise inference.
no code implementations • 28 Apr 2021 • Jason M. Klusowski, Peter M. Tian
This paper shows that decision trees constructed with Classification and Regression Trees (CART) and C4. 5 methodology are consistent for regression and classification tasks, even when the number of predictor variables grows sub-exponentially with the sample size, under natural 0-norm and 1-norm sparsity constraints.
no code implementations • 5 Nov 2020 • Jason M. Klusowski, Peter M. Tian
Decision trees and their ensembles are endowed with a rich set of diagnostic tools for ranking and screening variables in a predictive model.