Medicine
4 years ago

Decision Tree Outperforms Naive Bayes in Liver Cancer Classification Accuracy

Comparison of Naive Bayes and Decision Tree for Classifying Hepatocellular Carcinoma (HCC)
Qisthina Syifa Setiawan, Zuherman Rustam, Sri Hartini, Afifah Rofi Laeli, Ilsya Wirasati

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The study compared Naive Bayes and Decision Tree methods to classify Hepatocellular Carcinoma (HCC) patients. HCC is a common type of liver cancer that often shows no symptoms until it's advanced. The researchers used a dataset from a hospital in Indonesia to classify HCC patients. The results showed that Decision Tree had a higher accuracy of 100% compared to Naive Bayes at 98.25%. This means that Decision Tree is better at accurately classifying HCC patients.