Automatic Design Of Decision-tree Induction Alg... Apr 2026

: Experimental results across 20 public datasets showed that HEAD-DT could generate algorithms that are significantly more accurate than established human-designed standards like C4.5 and CART.

: Rodrigo C. Barros, Márcio P. Basgalupp, André C.P.L.F. de Carvalho, and Alex A. Freitas Automatic Design of Decision-Tree Induction Alg...

: For those new to the concept, the article "A Practical Tutorial for Decision Tree Induction" provides a foundational overview of the evaluation measures used in these algorithms. : Experimental results across 20 public datasets showed

: The authors proposed a hyper-heuristic evolutionary approach that treats these algorithm components as "genes" in a genome. The system automatically evolves a complete top-down induction algorithm tailored to a particular domain. Basgalupp, André C

: For over 40 years, researchers manually designed decision-tree algorithms like C4.5 and CART by choosing specific components (splitting criteria, stopping rules, etc.) based on trial and error.

: For a more comprehensive look, the authors published a detailed study in the SpringerBriefs in Computer Science series .