AFRLA - Instance Level Results is a collection of predictions at the instance/example level for eleven different regression tasks tested on 255 tree-based models (also called "base systems"). The aim of this dataset is to provide example-level results to train assessor models to predict performance of the tree-based models.
The dataset presents eleven sections (one per regression task), with… See the full description on the dataset page:
https://huggingface.co/datasets/DaniFrame/AFRLA-instance-level-results.
