Jan 21, 2024 · This paper studies a novel approach for training people to perform complex classification tasks using decision trees.
PDF | This paper studies a novel approach for training people to perform complex classification tasks using decision trees. The main objective of this.
This paper studies a novel approach for training people to perform complex classification tasks using decision trees. The main objective of this study is to ...
Optimizing Decision Trees for Enhanced Human Comprehension
www.springerprofessional.de › optimizin...
This paper studies a novel approach for training people to perform complex classification tasks using decision trees. The main objective of this.
Optimizing Decision Trees for Enhanced Human Comprehension ; Publisher: Springer Nature Switzerland ; Publication date (Print): 2024 ; Publication date (Online): ...
Basu, S., Christensen, J.: Teaching classification boundaries to humans. · Dam, H.K., Tran, T., Ghose, A.: Explainable software analytics. · Freitas, A.A.: ...
Optimizing Decision Trees for Enhanced Human Comprehension. R. Arbiv, L. Lovat, A. Rosenfeld, and D. Sarne. ECAI Workshops (1), volume 1947 of ...
People also ask
How do you optimize a decision tree?
How to make an optimal decision tree?
What can enhance a decision tree?
What are the four types of decision trees?
Dive into the research topics of 'Optimizing Decision Trees for Enhanced Human Comprehension'. Together they form a unique fingerprint. Sort by; Weight ...
Decision trees are a powerful tool for supervised learning, and they can be used to solve a wide range of problems, including classification and regression.
Sep 19, 2024 · These contradictory findings illustrate the need for a more thorough understanding of the concept of optimal decision trees. Report issue ...