Interactive Slice Visualization for Exploring Machine Learning Models

DOI10.1080/10618600.2021.1983439OpenAlexW3214691554MaRDI QIDQ5083345

C. Hurley, Mark O'Connell, Katarina Domijan

Publication date: 22 June 2022

Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2101.06986

zbMATH Keywords

conditioningsupervised and unsupervised learningblack-box modelsmodel explanationsectioningXAI

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

New and Simplified Manual Controls for Projection and Slice Tours, With Application to Exploring Classification Boundaries in High Dimensions ⋮ condvis2

Uses Software

• GGobi
• R
• ggplot2
• cluster (R)
• caret
• C4.5
• mlr
• GDAdata
• shiny
• condvis
• breakDown
• live
• parsnip
• shap
• mlr3
• loon
• vivid

Cites Work

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• Predictive learning via rule ensembles
• Greedy function approximation: A gradient boosting machine.
• ggplot2
• Different Ways to See a Tree - KLIMT
• The Grand Tour: A Tool for Viewing Multidimensional Data
• Ensemble Graphics
• A Slice Tour for Finding Hollowness in High-Dimensional Data
• Random forests

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