Perbandingan Metode Decision Tree dan Naive Bayes untuk Memprediksi Thyroid Cancer Recurrence

Abstract

Abstract – This study aims to predict thyroid cancer recurrence by comparing two data mining methods, namely
Decision Tree and Naive Bayes. The data used is classification data that has gone through preprocessing and
modeling processes, then tested using test and score tests on analysis software called Orange. By using Orange
as an analysis tool, experiments were conducted to determine which method gave the best accuracy. The results
show that the two methods have different accuracy comparisons in predicting thyroid cancer recurrence. This
research is expected to help in identifying symptoms that are at high risk of causing thyroid cancer recurrence
and provide valuable insights in data analysis.