Abstract: Worldwide cancer survey reports that Stomach cancer is the third leading cause of cancer death in both sexes. The death rate can be minimized in early prediction of the same. Numerous Data Mining algorithms are used to mine the necessary information from the large set of data. It is also playing a significant role in various disease predictions with the aid of different algorithms. This paper concentrates the prediction of the deadly disease Stomach Cancer using two different data mining algorithms named C4.5 algorithm and Naïve Bayes algorithm. It also analyse the performance and the role of both the algorithms in prediction. The experimental results prove the functionalities and the importance of C4.5 and Naïve Bayes algorithm.

Keywords: C4.5 algorithm, Naïve Bayes algorithm, Stomach Cancer prediction, Entropy, Probabilistic Classification