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| import pandas as pd | |
| class FraudDetection: | |
| def predict_batch(self, file): | |
| df = pd.read_csv(file) | |
| results = [] | |
| for _, row in df.iterrows(): | |
| fraud_prob = 0.1 # Replace with your model's prediction | |
| explanation = "No fraud detected." # Replace with your model's explanation | |
| results.append({"Transaction Amount": row["Amount"], "Fraud Probability": fraud_prob, "Explanation": explanation}) | |
| return pd.DataFrame(results) |