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 ...

Fig. 1: A simple decision-tree example. Source: Wikipedia. Unlike conventional neural nets, decision trees don’t extract features from the data. So-called “feature engineering” is done by the ...

The alternating decision tree learning algorithm. in Proceedings of the 16th International Conference on Machine Learning, (eds. Bratko, I. & Džeroski, S.) 124–133 (Morgan Kaufmann, San ...

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 ...