22 citations · 127 across the 26 of their papers we have counts for
3 papers · 1 filter
Exploring Local Explanations of Nonlinear Models Using Animated Linear Projections
Nicholas Spyrison, Dianne Cook, Przemyslaw Biecek
The increased predictive power of machine learning models comes at the cost of increased complexity and loss of interpretability, particularly in comparison to parametric statistic…
A Projection Pursuit Forest Algorithm for Supervised Classification
Natalia da Silva, Dianne Cook, Eun-Kyung Lee
This paper presents a new ensemble learning method for classification problems called projection pursuit random forest (PPF). PPF uses the PPtree algorithm introduced in Lee et al.…
Interactive Graphics for Visually Diagnosing Forest Classifiers in R
Natalia da Silva, Dianne Cook, Eun-Kyung Lee
This paper describes structuring data and constructing plots to explore forest classification models interactively. A forest classifier is an example of an ensemble, produced by ba…