id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cet-15436		cet-15436		6	.pdf	application/pdf	3117	136	44	The best-performing model achieved an 𝑅2 score of 0.982 and a Mean Squared Error (MSE) of 4.878 × 10⁻⁴, demonstrating that RTA data effectively supports BHP prediction and that DT models are well-suited for this application. This study used a ML model to determine BHP using RTA data provided by SPE.	cache/cet-15436.pdf	txt/cet-15436.txt