mlr3summary: Concise and interpretable summaries for machine learning models

arXiv:2404.16899v1 Announce Type: new
Abstract: This work introduces a novel R package for concise, informative summaries of machine learning models.
We take inspiration from the summary function for (generalized) linear models in R, but extend it in several directions:
First, our summary function is model-agnostic and provides a unified summary output also for non-parametric machine learning models;
Second, the summary output is more extensive and customizable -- it comprises information on the dataset, model performance, model complexity, model's estimated feature …

abstract arxiv cs.lg function generalized inspiration linear machine machine learning machine learning models model-agnostic novel package summary type work