id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
easat-4929	Meda, Shefqet ; Cuku, Lily ; Tafa, Zhilbert 	Comparison of machine learning algorithms in predicting hospital readmissions for diabetic patients	2025	27	.pdf	application/pdf	11188	598	43	Despite these successes, there were issues with data imbalance, suggesting that improving feature selection and combining classifiers might enhance model performance [19]. • To detect potential multicollinearity issues, which could negatively impact model performance, particularly in linear models.	cache/easat-4929.pdf	txt/easat-4929.txt