ANALYSIS OF CLASSIFICATION OF LUNG CANCER USING THE DECISION TREE CLASSIFIER METHOD

The International Agency for Research on Cancer (IARC) revealed staggering figures, with 19.3 million global cancer cases and 10 related deaths in that year. Cancer, characterized by abnormal cell growth, can potentially be dangerous the ability to metastasize. Notably, lung is often detected an advanced stage due a lack of awareness comprehensive medical assessment. Lung usually presents late-stage diagnosis. From 60% 85% individuals diagnosed show about their condition. Early diagnosis using accurate classification method significantly increase success To improve predictions, Decision Tree Classifier was used classification, resulting significant accuracy. This study achieved good level accuracy, accuracy value 95.16% at max_depth model depth 15, tested 40 experimental iterations. These results are expected provide hope progress cancer. Keywords: Lung, Classification,