Open access
Aug 2026
Learning from Prior Experiments: Meta-learning Models of Workflow Performance
This study shows that accurate performance prediction for classical machine learning workflows can be achieved through meta-learning using readily available OpenML meta-data, and indicates that careful selection of regression models is more critical than increased representational complexity.
Roman Neruda, Juan Carlos Figueroa–García, Carlos Franco
· SN Computer Science · 0 citations