An Analysis of Classification of Breast Cancer Dataset Using J48 Algorithm
John Heland Jasper C. Ortega · International Journal of Advanced Trends in Computer Science and Engineering · 2020
Classifying tumors into benign and malignant take time and resources; sometimes it takes several radiologists and oncologists to diagnose if a tumor is malignant or benign, especially if features are hardly distinguishable to the human eye.To determine a way to automatically classify if a tumor is benign or malignant, the researchers developed a model using J48 decision tree algorithm to classify a tumor through analysis of cell features extracted by the X-cyt program.Based on confusion matrix analysis, the algorithm performed well by recording a 95 percent accuracy rate derived from confusion matrix analysis.