In the last decade, AI chatbots have transformed from simple tools that offer basic responses to advanced systems capable of holding deep, meaningful conversations.

A decision tree is a tree whose internal nodes can be taken as tests (on input data patterns) and whose leaf nodes can be taken as categories (of these patterns). These tests are filtered down through ...

I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have ...

With the continuous development of machine learning, more and more applications are applied to all areas of life. Decision tree algorithm, as a classic algorithm in machine learning, is also widely ...

Keywords: explainable machine learning, Bayesian statistics, greedy algorithms, Bayesian decision trees, white box Citation: Nuti G, Jiménez Rugama LIA and Cross A-I (2021) An Explainable Bayesian ...

Bayesian Decision Trees provide a probabilistic framework that reduces the instability of Decision Trees while maintaining their explainability. While Markov Chain Monte Carlo methods are typically ...