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This paper presents VisMCA, an interactive visual analytics system thatsupports deepening understanding in ML results, augmenting users' capabilitiesin correcting misclassification, and providing an analysis of underlyingpatterns, in response to the VAST Challenge 2020 Mini-Challenge 2. VisMCAfacilitates tracking provenance and provides a comprehensive view of objectdetection results, easing re-labeling, and producing reliable, corrected datafor future training. Our solution implements multiple analytical views onvisual analysis to offer a deep insight for underlying pattern discovery.

VisMCA: A Visual Analytics System for Misclassification Correction and  Analysis. VAST Challenge 2020, Mini-Challenge 2 Award: Honorable Mention for  Detailed Analysis of Patterns of Misclassification