Stable Decision Tree Method for Predicting Suicidal Ideation for At-Risk Homeless Youth
- This project implements the stable decision tree algorithm based on the method outline in Improving Stability in Decision Tree Models that presents a unique distace metric for heuritic-based decision trees as a measure of stability. The algorithm produces a Pareto optimal set from which a single final optimal tree is selected according to an objective function targeting a unique metric to optimize (AUC, distance, combined, etc.).
- Improved suicidal ideation prediction accuracy by 15% with respect to the original implementation among youth experiencing homelessness.
Presentation | Github