Show how you can explore the training data? Any interesting findings?

Use Logistic and Classification and Regression Trees $($CART$)$ to model this classification problem respectively. Training dataset is for training and test dataset is for testing your developed models.

Which algorithm performs better in terms of accuracy for the test dataset?