A Comparison Study of Two Knowledge Acquisition Techniques Applied to Thyroid Medical Diagnosis Domain

Abstract

This study compares the performance of two famous methods used in knowledge acquisition and machine learning; the C4.5 (Quinlan 1986) algorithm for building the decision tree and the Backpropagation algorithm for training Multi layer feed forward neural network. This comparison will be based on the task of classifying thyroid diagnosis dataset. Both methods will be applied on the same data set and then study and discuss the results obtained from the experiments.