id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-572	Sarita Silaich	Integration of Complex Mathematical Approaches and Statistical Methodologies in Machine Learning for Design of Robust Prediction Models	2024	21	.pdf	application/pdf	7570	363	45	Performance metrics derived from statistical analysis, such as the AUC of the ROC curve, are indispensable for evaluating the effectiveness of breast cancer prediction models. By incorporating OR algorithms such as linear programming, decision trees, and network flows, machine learning models can be refined to handle specific complexities of breast cancer data more effectively.	cache/cana-572.pdf	txt/cana-572.txt