GA Tree: genetically evolved decision trees

Athanasios Papagelis, Dimitris Kalles · 2002

We use genetic algorithms to evolve classification decision trees. The performance of the system is measured on a set of standard discretized concept learning problems and compared (very favorably) with the performance of two known algorithms (C4.5, OneR).

Read the paper · More papers on PaperTik