id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_hxcodjpquneutiug2zkfy44nea	Lingjian Yang	A regression tree approach using mathematical programming	2017	11	.pdf	application/pdf	9053	1399	60	Regression analysis is a machine learning approach that aims to accurately predict the value of continuous output variables from certain independent input variables, via automatic estimation of their latent Using six real world benchmark problems, we demonstrate that the proposed method consistently outperforms a number of state-of-the-art regression tree Each candidate tree is tested on an independent validation sample set and the one corresponding to the lowest prediction error is Given a set of samples, SUPPORT fits a multiple linar regression function and computes the deviation of each samle. Given a node, the same step of fitting samles with a linear regression model and separating samples into stimated during tree growing procedure while regression coeffiients for each child node are computed at pruning step. simultaneously the position of break-point and regression coefficients per child node, representing significant improvement compared with other tree models in literature. model trees with regression and splitting nodes.	./cache/work_hxcodjpquneutiug2zkfy44nea.pdf	./txt/work_hxcodjpquneutiug2zkfy44nea.txt