juanda-code269/FraudLens
App
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Last change 2 days ago.
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MIT: you can use it for free, also in a commercial product. Keep the licence notice.
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What it is
A Python/Streamlit app for fraud detection experiments. It lets users upload or use demo data, run exploratory analysis, train Logistic Regression, Random Forest and Gradient Boosting models, compare PR-AUC and ROC-AUC, tune decision thresholds against false-positive and…
Who it's for
Data scientists and Python developers prototyping fraud detection models and cost-based threshold selection
How to use it
Ready-made installers, when the project publishes them, are on its latest release.
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Help me install and set up juanda-code269/FraudLens in my project. Follow its README: https://github.com/juanda-code269/FraudLens. Explain each step and check it is safe before running anything.
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