However, decision tree regression is extremely sensitive to changes in the training data, and it is susceptible to model overfitting ... but you should be able to refactor the code to a different ...

What are the advantages of logistic regression over decision trees? ... In technical terms, if the AUC of the best model is below 0.8, logistic very clearly outperformed tree induction.

The demo program creates a decision tree regression model where the tree has seven nodes. After the tree is created, the demo program computes the model accuracy on the training data as 0.9000 (9 out ...