ModelWise: Interactive Model Comparison for Model Diagnosis, Improvement and Selection

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dc.contributor.authorMeng, Linhaoen_US
dc.contributor.authorElzen, Stef van denen_US
dc.contributor.authorVilanova, Annaen_US
dc.contributor.editorBorgo, Ritaen_US
dc.contributor.editorMarai, G. Elisabetaen_US
dc.contributor.editorSchreck, Tobiasen_US
dc.date.accessioned2022-06-03T06:05:44Z
dc.date.available2022-06-03T06:05:44Z
dc.date.issued2022
dc.description.abstractModel comparison is an important process to facilitate model diagnosis, improvement, and selection when multiple models are developed for a classification task. It involves careful comparison concerning model performance and interpretation. Current visual analytics solutions often ignore the feature selection process. They either do not support detailed analysis of multiple multi-class classifiers or rely on feature analysis alone to interpret model results. Understanding how different models make classification decisions, especially classification disagreements of the same instances, requires a deeper model understanding. We present ModelWise, a visual analytics method to compare multiple multi-class classifiers in terms of model performance, feature space, and model explanation. ModelWise adapts visualizations with rich interactions to support multiple workflows to achieve model diagnosis, improvement, and selection. It considers feature subspaces generated for use in different models and improves model understanding by model explanation. We demonstrate the usability of ModelWise with two case studies, one with a small exemplar dataset and another developed with a machine learning expert with real-world perioperative data.en_US
dc.description.number3
dc.description.sectionheadersVisualization and Machine Learning
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume41
dc.identifier.doi10.1111/cgf.14525
dc.identifier.issn1467-8659
dc.identifier.pages97-108
dc.identifier.pages12 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.14525
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14525
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing --> Visualization; Visual analytics; Computing methodologies --> Supervised learning by classification
dc.subjectHuman centered computing
dc.subjectVisualization
dc.subjectVisual analytics
dc.subjectComputing methodologies
dc.subjectSupervised learning by classification
dc.titleModelWise: Interactive Model Comparison for Model Diagnosis, Improvement and Selectionen_US
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