id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-1758	Ranjeetsingh Suryawanshi	Improving Software Defect Prediction Accuracy through Modified Entropy Calculation in the Random Forest Algorithm	2024	12	.pdf	application/pdf	4805	271	55	The contributions of a large number of academics and academicians have demonstrated that the likelihood of identifying software defect prediction models may be more cost effective than the probability of identifying defects through software inspections. It is possible to improve the quality of software defect prediction by including the best selected features into the Random Forest classification process.	cache/cana-1758.pdf	txt/cana-1758.txt