mihai-chindris
/

malware-detection-lgbm

Tabular Classification

malware-detection

Eval Results (legacy)

Model card Files Files and versions

Malware Detection LightGBM

LightGBM-based static malware detector for PE files.

Performance (hold-out test set)

AUC: 0.9978
Accuracy: 0.9895
Confusion matrix: [[4158, 66], [39, 5774]]

Artifacts

production_model.joblib
preprocessing_pipeline.joblib
feature_names.json

Notes

This repository contains model artifacts only.
For large CSV batch inference, use the Render app: https://malware-detection-ml-mihai.onrender.com/upload

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Malware Detection

1 item • Updated Mar 3

Evaluation results

AUC on Brazilian Malware Dataset (hold-out test set)
self-reported

0.998
Accuracy on Brazilian Malware Dataset (hold-out test set)
self-reported

0.990