# 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