| # 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 | |