File size: 950 Bytes
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license: mit
library_name: sklearn
tags:
- malware-detection
- ember
- cybersecurity
- random-forest
- pe-files
- security
---
# EMBER Malware Random Forest
A Random Forest classifier trained on the **EMBER** (Elastic Malware Benchmark for Empowering Researchers) dataset for PE malware detection.
## Model Details
- **Model Type**: Random Forest Classifier
- **Framework**: scikit-learn
- **Dataset**: EMBER v2 (1M+ PE samples)
- **Input**: 2381-dimension feature vector
- **Output**: Malicious / Benign classification
## Performance
Trained on the standard EMBER training split with optimized hyperparameters.
| Metric | Score |
|--------|-------|
| AUC-ROC | ~0.99 |
| Accuracy | ~97% |
| F1 Score | ~0.96 |
## Related
- [malware-detector-rf](https://huggingface.co/dev9269/malware-detector-rf) - Production variant
- [malware-detector-demo](https://huggingface.co/spaces/dev9269/malware-detector-demo) - Interactive demo
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