Towards understanding learning behavior
Joaquin Vanschoren, Hendrik Blockeel · Lirias · 2006
This paper presents ideas for learning to understand performance differences among learning algorithms. We propose a descriptive meta-learning approach, i.e. being able to thoroughly investigate and explain the reasons behind the success or failure of a learning algorithm. We start from an analysis of current meta-learning issues and propose an integrated solution, based on synthetic datasets, “insightful ” meta-features (about data as well as algorithms) and eventually incorporating preprocessing techniques. 1.