A pseudo Karnaugh mapping approach for datasets imbalance

The problem of dataset imbalance has raised a wide concern in many machine learning areas, but not non-intrusive load monitoring, or disaggregation. In this study, pictorial evaluation method is proposed to representation the class distribution datasets. We colored Karnaugh maps according quantities different variables combination offer visual impact whole dataset. After utilizing on public and its testing result, clear imbalanced abundance an exciting performance have been found. A preliminary Python package realize mapping uploaded GitHub .