PREDICTION OF CANCER DISEASES USING NAIVE BAYES CLASSIFICATION

Abstract

Malignancy is a lot of infections where a few cells of the body develop anomalous. These cells at that point pulverize other encompassing cells and their typical capacities. Malignant growth can spread all through the human body. Since it is an exceptionally tricky malady its finding is significant. In certain structures it spreads inside days. So, the determination of malignancy at beginning times is significant. The test is to initially analyse the primary sort and afterward its subtypes. This exploration utilizes information mining arrangement instruments to settle on a choice emotionally supportive network to recognize various sorts of disease on the Genes dataset. Information mining innovation helps in characterizing malignant growth patients and this system recognizes potential disease patients by basically examining the information utilizing Naive Bayes grouping.