A Comparative Study of Decision Tree and Naive Bayesian Classifiers on Medical Datasets
D. Sheela Jeyarani, G. Anushya, R. Rajeswari, A. Pethalakshmi · 2013
Data Mining is a process to discover valuable patterns from large datasets. Classification is an important data mining functionality and it employs supervised learning to predict class labels for a given sample. This research paper apprises about two important classification algorithms, Decision trees and Naive Bayesian and compares their predictive accuracy on selected medical datasets.