id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
futech-532	Tamrakar, Prashant Kumar ; Roy, Deepjyoti ; Agarwal, Preeti ; Ghemas, Mohammed Fikery ; Ghosh, Snigdha Madhab ; K.S, Rekha. ; Mohil, Meenu 	Innovative approaches to software defect prediction using ensemble learning models	2025	9	.pdf	application/pdf	6821	332	36	To assess whether integrating Recursive Feature Elimination and mutual-information feature ranking enhances generalization and mitigates overfitting in software defect prediction models. One of the studies has empirically evaluated optimization methods of predicting the number of defects in software and concluded that the benefit of tuning hyperparameters was a significant ingredient in software model accuracy, especially in neural and ensemble models [13].	cache/futech-532.pdf	txt/futech-532.txt