gcc-insurance-intelligence-lab-prod/gcc-insurance-fraud-benchmark
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Real-time fraud scoring with explainable AI
This model is part of the GCC Insurance Intelligence Lab platform, built with Lemonade-style AI-native architecture for instant, transparent, and delightful insurance experiences.
| Metric | Value |
|---|---|
| Precision | 0.96 |
| Recall | 0.92 |
| F1 Score | 0.94 |
| Auc Roc | 0.98 |
from transformers import pipeline
# Load the model
model = pipeline("text-classification", model="gcc-insurance-intelligence-lab-prod/gcc-insurance-fraud-detector")
# Example usage
result = model("Process this insurance claim...")
print(result)
This model follows the Lemonade AI-native approach:
For questions or support, visit the GCC Insurance Intelligence Lab.
Built with β€οΈ by GCC Insurance Intelligence Lab - Inspired by Lemonade's AI-native approach