In this paper, we analyze the classic US Adult Income Dataset using logistics regression and random forest to analyze potential factors that contribute to income bias for the 50Kincome bracket(income ≥ 50K per year). Using ...

Closer integration of machine learning (ML) with data processing is a booming area in both the data management industry and academia. Almost all ML toolkits assume that the input is a single table, but many datasets are ...

We survey the existing landscape of ML systems to identify gaps that motivate our vision of a unifying abstraction to support the iterative process of model selection and lay a principled foundation for model selection ...