Zhongjun Jin

Identifying Insufficient Data Coverage for Ordinal Continuous-Valued Attributes

2021

Appropriate training data is a requirement for building good machine-learned models. In this paper, we study the notion of coverage for ordinal and continuous-valued attributes, by formalizing the intuition that the learned model can accurately …