  This paper presents VisMCA, an interactive visual analytics system that
supports deepening understanding in ML results, augmenting users' capabilities
in correcting misclassification, and providing an analysis of underlying
patterns, in response to the VAST Challenge 2020 Mini-Challenge 2. VisMCA
facilitates tracking provenance and provides a comprehensive view of object
detection results, easing re-labeling, and producing reliable, corrected data
for future training. Our solution implements multiple analytical views on
visual analysis to offer a deep insight for underlying pattern discovery.
