The primary objective is to assess the effectiveness of Machine Learning models in classifying colon cancer across various age groups. Specific goals include evaluating model accuracy, identifying age-specific variations in cancer presentation, and demonstrating the potential of Machine Learning as a tool to enhance colon cancer diagnosis.