Tree-based Ensemble Learning for Out-of-distribution Detection

arXiv:2405.03060v1 Announce Type: new
Abstract: Being able to successfully determine whether the testing samples has similar distribution as the training samples is a fundamental question to address before we can safely deploy most of the machine learning models into practice. In this paper, we propose TOOD detection, a simple yet effective tree-based out-of-distribution (TOOD) detection mechanism to determine if a set of unseen samples will have similar distribution as of the training samples. The TOOD detection mechanism is based on …

abstract arxiv cs.lg deploy detection distribution ensemble fundamental machine machine learning machine learning models paper practice question samples simple testing training tree type