Evaluation of Different Machine LearningMethods for Caesarean Data Classification
O.S.S. Alsharif, K.M. Elbayoudi, A.A.S. Aldrawi, Kemal Akyol · International Journal of Information Engineering and Electronic Business · 2019
Recently, a new dataset has been introduced about the caesarean data.In this paper, the caesarean data was classified with five different algorithms; Support Vector Machine, K Nearest Neighbours, Naï ve Bayes, Decision Tree Classifier, and Random Forest Classifier.The dataset is retrieved from California University website.The main objective of this study is to compare selected algorithms' performances.This study has shown that the best accuracy that was for Naï ve Bayes while the highest sensitivity which was for Support Vector Machine.