---
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