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fraud-detection

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ModelKit Tag Metadata

Author
Jozu
Date added
Size
24.9MB
Digest
Total pulls
7

Package

Name
fraud-detector
Version
2.1
Authors
Jozu
Description
An ML model to identify fraudulent transactions

Model

Name
fraud-xgb
Path
model/model.pkl
License
Apache 2.0
Parts
N/A
Parameters
{ "MLFlow": { "run_info": { "run_id": "611dd98a4fbc42f78c20c559337f8202", "run_name": "industrious-loon-433", "artifact_uri": "mlflow-artifacts:/693112939931118568/611dd98a4fbc42f78c20c559337f8202/artifacts", "experiment_id": "693112939931118568" }, "result_info": { "metrics": { "score": 0.649, "roc_auc": 0.83, "f1_score": 0.64, "log_loss": 0.902, "recall_score": 0.649, "example_count": 1617, "accuracy_score": 0.649, "precision_score": 0.652 } }, "best_hyperparameters": { "max_depth": 10, "n_estimators": 50, "learning_rate": 0.1 } } }

Datasets

data/fraud-training.csv
Preview

Codebases

Fraud Detection.ipynb
Preview
mlflow-run.py
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requirements.txt
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Docs

docs/LICENSE
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docs/CDLA-Permissive-2.0.md
Preview
mlflow-artifacts/confusion_matrix.png
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mlflow-artifacts/per_class_metrics.csv
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docs/README.md
Preview