id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cet-13480		cet-13480		6	.pdf	application/pdf	3386	154	51	It was possible to build regression trees with the identification of classifiers by nodes, branches and leaves to predict wheat flour quality more accuracy than linear regression. In this context, the objective of this study was to use machine learning methods to estimate the reliability of NIR spectra compared to traditional methods for wheat flour quality control.	cache/cet-13480.pdf	txt/cet-13480.txt