Spaces:
Configuration error
Configuration error
| license: mit | |
| tags: | |
| - fraud-detection | |
| - explainable-ai | |
| - trustworthy-ai | |
| - responsible-ai | |
| - predictive-analytics | |
| - financial-ai | |
| - lead-ai | |
| datasets: | |
| - lead-ai-labs/fraud-detection-sample-data | |
| pipeline_tag: tabular-classification | |
| # Lead.AI Fraud Detection XAI Model | |
| The **Lead.AI Fraud Detection XAI Model** is a prototype machine learning model designed for fraud-risk prediction, explainable AI, and trustworthy decision-support research. | |
| This project is part of **Lead.AI Labs**, an applied AI initiative focused on building transparent, scalable, and practical AI systems for finance, business automation, and decision intelligence. | |
| ## Model Purpose | |
| This model demonstrates how machine learning can support fraud-risk scoring while keeping the decision process understandable to users, analysts, and business stakeholders. | |
| ## Key Features | |
| - Fraud-risk classification: Low, Medium, and High | |
| - Explainable decision logic | |
| - Tabular financial transaction analysis | |
| - Decision-support system design | |
| - Responsible AI and transparency focus | |
| - Research and portfolio demonstration for applied machine learning | |
| ## Intended Use | |
| This model is intended for: | |
| - Fraud detection research | |
| - Explainable machine learning demonstrations | |
| - AI decision-support prototypes | |
| - Financial technology learning projects | |
| - Lead.AI product development experiments | |
| - Academic and professional portfolio use | |
| ## Dataset | |
| This model is connected to: | |
| `lead-ai-labs/fraud-detection-sample-data` | |
| The dataset contains synthetic or sample transaction-style records designed for fraud detection demonstrations. It does not include private banking data, real customer data, or personally identifiable information. | |
| ## Example Inputs | |
| The model is designed around transaction-style features such as: | |
| - Transaction amount | |
| - Transaction time | |
| - Account age | |
| - Merchant or transaction category | |
| - Previous chargeback activity | |
| - Behavioral risk indicators | |
| ## Example Output | |
| ```text | |
| Prediction: High Fraud Risk | |
| Explanation: | |
| The transaction received a high-risk score because the amount was unusually large, the transaction occurred at an unusual hour, and the account had previous chargeback activity. |