Abstract
Meta-learning (MtL) has traditionally been focused in the analysis of a pool of datasets and how their characteristics relate to Machine Learning (ML) classification performance. But a more fine-grained analysis can be done at the instance-level, where particular characteristics of each instance of a dataset are regarded instead. Building on previous work of the research group, this scien…