To remember all this, you draw a flowchart which will enable you to read off your decision. We call such diagrams decision trees ... This kind of thinking underlies the ID3 algorithm for learning ...

Abstract: Machine learning (ML ... In this article we propose the use of binary decision diagrams (BDDs) as an interpretable ML model. BDDs can be deemed as interpretable as decision trees (DTs) while ...

Other common machine learning regression algorithms (short of neural networks) include Naive Bayes, Decision Tree, K-Nearest Neighbors, LVQ (Learning Vector Quantization), LARS Lasso, Elastic Net ...

Abstract: A random forest (RF) is a kind of an ensemblemachine learning algorithm ... of multiple decision trees that are built fromrandomly sampled data. The RF has a simple, fast learning, ...