Lecture 6 Decision Tree Learning As discussed in the last lecture, the representation scheme we choose to represent our learned solutions and the way in which we learn those solutions are the most ...

Before it makes a decision, the method combines K nearest neighbors, support vector machine, and decision tree learning. Accuracy is reportedly up to 89%.