UPI_Fraud_Detection_Using_Machine_Learning/advanced_demo_results.json at master · Skismail57/UPI_Fraud_Detection_Using_Machine_Learning · GitHub

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{
  "Federated Learning": {
    "status": "SUCCESS",
    "result": {
      "global_accuracy": 0.9036401612763316,
      "banks": 3
    }
  },
  "Synthetic Data Generation": {
    "status": "SUCCESS",
    "result": {
      "synthetic_samples": 1000,
      "quality_score": 0.92
    }
  },
  "Blockchain Audit Trails": {
    "status": "SUCCESS",
    "result": {
      "blocks": 5,
      "verified": true
    }
  },
  "GNN-Transformer": {
    "status": "SUCCESS",
    "result": {
      "fraud_prob": 0.1257953533266356,
      "decision": "ALLOW"
    }
  },
  "Reinforcement Learning": {
    "status": "SUCCESS",
    "result": {
      "episodes": 100,
      "final_reward": 80,
      "action": "BLOCK"
    }
  },
  "Multi-Modal Features": {
    "status": "SUCCESS",
    "result": {
      "multimodal_risk": 0.2576306325274997,
      "biometric_score": 1.0
    }
  },
  "Threat Intelligence": {
    "status": "SUCCESS",
    "result": {
      "threat_score": 0.5744342749111169,
      "threats_found": 1
    }
  },
  "Active Learning": {
    "status": "SUCCESS",
    "result": {
      "improved_accuracy": 0.92,
      "feedback_count": 80
    }
  },
  "Differential Privacy": {
    "status": "SUCCESS",
    "result": {
      "privacy_cost": 0.19379705217880228,
      "remaining_budget": 0.8062029478211977
    }
  }
}