id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
hij-386	Surono, Sugiyarto; Afitian, M. Yahya Firza; Setyawan, Anggi; Eni Arofah, Dyiyah Kresna; Thobirin, Aris	Comparison of CNN Classification Model using Machine Learning with Bayesian Optimizer	2023	12	.pdf	application/pdf	6256	401	55	This simply means that this current research helps to achieve high classification accuracy through the combination of a state-of-the-art CNN model and an optimized ML algorithm. For example, the proposed model provided high classification accuracy in the COVID-19 Radiographic Database dataset but is likely to show lower accuracy in different datasets.	cache/hij-386.pdf	txt/hij-386.txt