id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-3689	M. Vijayakanth	Comparative Study of Machine Learning Models for Predicting Cardio Activities Based on Diverse Performance Metrics	2025	12	.pdf	application/pdf	4824	254	43	The experimental findings provide a comprehensive understanding of the relative effectiveness of the models, offering practical insights for identifying optimal methodologies in the domain of cardio activity predictions. The results of this study have the potential to significantly enhance the accuracy and utility of cardio activity predictions, thereby contributing to the evolution of personalized healthcare solutions and fitness optimization strategies, where data-driven decision- making assumes a pivotal role.	cache/cana-3689.pdf	txt/cana-3689.txt