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GitHub / vikram-raju / Permutation-Importance-and-SHAP-on-Fraud-Classification

A take on highly imbalanced fraud classification using permutation importance to select top features and explaining the model using SHAP.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vikram-raju%2FPermutation-Importance-and-SHAP-on-Fraud-Classification

Stars: 0
Forks: 2
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 349 KB
Dependencies parsed at: Pending

Created at: almost 6 years ago
Updated at: over 1 year ago
Pushed at: almost 6 years ago
Last synced at: over 1 year ago

Topics: classification, fraud-detection, permutation-importance, shap, smote

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