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 ...

Decision Trees: Splitting Using Entropy ¶ perhaps the trickiest part of this decision tree learning algorithm is deciding what a “fairly good” choice is for a question node one way of making this ...

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A binary classification problem is one where the goal is to predict the value ...