Speaker
Dr
Andrea Carta
(University of Cagliari)
Description
SVM Regression Oblique Trees: A Novel Approach to Regression Tasks. This technique combines feature selection based on predictor correlation and a weighted support vector machine classifier with a linear kernel. Evaluation on simulated and real datasets reveals the superior performance of the proposed method compared to other oblique decision tree models, with the added advantage of enhanced interpretability.
| Type of presentation | Talk |
|---|---|
| Classification | Both methodology and application |
| Keywords | Decision Trees, Oblique Trees, Support Vector Machine |
Primary authors
Dr
Andrea Carta
(University of Cagliari)
Dr
Giulia Contu
(University of Cagliari)
Luca Frigau
(University of Cagliari)