DSC441- Fall 2018, Assignment 4, Page 4 of 9
The above table displays the results and configurations of the 5 decision tree models generated with this data. I
would choose the fifth model as the best fit although it does not have the highest training and testing accuracy rates.
The training and testing accuracy rates of this model are very similar, within 3% of each other. The complexity of
this model is not too high as it is 11 levels deep with 125 nodes and 63 terminal nodes.
(4 points) For the best tree configuration, report the misclassification matrix and interpret it.
your opinion, is accuracy a good way to interpret the performance of the model?
If not, suggest