MIS2502-PRO_Points_Assignment (1)
I undertook an independent data analysis project using Decision Tree classification on a real medical diagnostic data set that was not covered in the course. This project aimed to create a classification model to diagnose tumors as malignant or benign using clinical metrics of cell nuclei. I conducted hyperparameter tuning tests with various ‘minimum sample split’ values to reduce overfitting on the training data to achieve the best accuracy of 93.9% on the test data, using a value of 20. This project illustrates how predictive analytics can be used to enhance diagnostic accuracy in medicine.
