# Machine Learning Models

Kaizen AI integrates advanced machine learning models that power intelligent scoring, anomaly detection, and predictive analytics.

#### Model Architecture

* Modular multi-layer architecture combining decision trees, NLP models, and neural networks
* Separate pipelines for blockchain analytics, sentiment parsing, and behavioral modeling

#### Training Procedures

* Supervised learning using labeled historical exploit and fraud data
* Reinforcement learning for adaptive strategies
* Transfer learning to port insights across chains and assets

#### Feature Engineering

* Real-time token metrics: liquidity, holder concentration, contract complexity
* Social signals: virality, sentiment, coordinated behavior
* Wallet patterns: frequency, mixing behavior, known associations

#### Model Evaluation

* A/B testing with historical snapshots
* ROC-AUC and F1-score benchmarks
* Manual analyst review loop to validate AI conclusions

#### Continuous Learning

* Periodic retraining with new attack vectors and market conditions
* Drift detection and automatic re-optimization
* Human-in-the-loop refinement for emerging patterns