Juan Carlos Figueroa–García

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.