Nexar Quantum Ensemble Classifier
Weighted ensemble of Random Forest, Gradient Boosting, and XGBoost for quantum algorithm classification.
Ensemble Weights
- Random Forest: 25%
- Gradient Boosting: 25%
- XGBoost: 20%
- Features: Code metrics (complexity, qubit usage, etc.)
Performance
- F1-Score: ~87%
- Algorithms detected: 8 quantum algorithms