UP Statistics Variations of CART Algorithm Paper


Choose CART or C5.0 (your choice).
Compare at least two variations of the chosen algorithm (i.e., change the tree depth, select boosting or bagging, does it make sense to adjust misclassification costs?, etc.).
List these variations and the prediction accuracy on the training and test set. (e.g., in a table)
Which one do you prefer to use to answer Query 2? Why?
Briefly summarize the steps you took to arrive at this model and include the relevant output (e.g., tables, figures, etc.).

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