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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 offering a often more compact ...

There are many other techniques for binary classification, but using a decision tree is very common and the technique is considered a fundamental machine learning skill for data scientists. There are ...

// Given a binary tree with N number of nodes, check if that input tree is BST (Binary Search Tree) or not. If yes, return true, return false otherwise. // Duplicate elements should be in right ...

Motivated by the need to understand the behaviour of complex machine learning (ML) models, there has been recent interest in learning optimal (or sub-optimal) decision trees (DTs). This interest is ...