id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
framr-2919	Herlan; Sudarmaji, Eka ; Yatim, M Rubiul 	Predictive Creditworthiness Modeling in Energy-Saving Finance: Machine Learning Logit and Neural Network 	2022	11	.pdf	application/pdf	6356	395	50	Credit models were helpful to evaluate the risk of consumer loans. This study investigated the efficacy of artificial neural networks and logistic regression models in predicting credit default occurrences in the energy efficiency industry's retrofitting.	cache/framr-2919.pdf	txt/framr-2919.txt
