The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations

arXiv:2212.11737v2 Announce Type: replace
Abstract: Machine learning (ML) models are nowadays used in complex applications in various domains, such as medicine, bioinformatics, and other sciences. Due to their black box nature, however, it may sometimes be hard to understand and trust the results they provide. This has increased the demand for reliable visualization tools related to enhancing trust in ML models, which has become a prominent topic of research in the visualization community over the past decades. To provide an …

abstract applications art arxiv bioinformatics black box box cs.hc cs.lg domains however machine machine learning machine learning models medicine nature results state state of the art stat.ml trust type