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stat.ML2026★ 1 cited
Automated Residual Plot Assessment With the R Package autovi and the Shiny Application autovi.web
Weihao Li, Dianne Cook, Emi Tanaka +2
Visual assessment of residual plots is a common approach for diagnosing linear models, but it relies on manual evaluation, which does not scale well and can lead to inconsistent de…
stat.ML2026
An Enhanced Projection Pursuit Tree Classifier with Visual Methods for Assessing Algorithmic Improvements
Natalia da Silva, Dianne Cook, Eun-Kyung Lee
This paper presents enhancements to the projection pursuit tree classifier and visual diagnostic methods for assessing their impact in high dimensions. The original algorithm uses…
stat.ML2024
Automated Assessment of Residual Plots with Computer Vision Models
Weihao Li, Dianne Cook, Emi Tanaka +2
Plotting the residuals is a recommended procedure to diagnose deviations from linear model assumptions, such as non-linearity, heteroscedasticity, and non-normality. The presence o…