Squares: Supporting Interactive Performance Analysis for Multiclass Classifiers

Abstract

Performance analysis is critical in applied machine learning because it influences the models practitioners produce. Current performance analysis tools suffer from issues including obscuring important characteristics of model behavior and dissociating performance from data. In this work, we present Squares, a performance visualization for multiclass… (More)
DOI: 10.1109/TVCG.2016.2598828

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Cite this paper

@article{Ren2017SquaresSI, title={Squares: Supporting Interactive Performance Analysis for Multiclass Classifiers}, author={Donghao Ren and Saleema Amershi and Bongshin Lee and Jina Suh and Jason D. Williams}, journal={IEEE Transactions on Visualization and Computer Graphics}, year={2017}, volume={23}, pages={61-70} }