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bot-detector-lstm
yazidsupriadi/bot-detector-lstm
bot-detector-lstm is a machine learning model from yazidsupriadi. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Model deteksi akun bot berbasis teks dan fitur numerik menggunakan LSTM.
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Public
Updated Jun 2, 2025
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At a glance
- Access
- Public
- Created
- Apr 29, 2025
- Updated
- Jun 2, 2025
- SHA
- bfe206d3
Model card
From the Hugging Face model README
🧠 Bot Detector LSTM
Model deteksi akun bot berbasis teks dan fitur numerik menggunakan LSTM.
📈 History Training
| Epoch | Loss | Accuracy | Precision | Recall | F1-Score |
|---|---|---|---|---|---|
| 1 | 0.0349 | 0.8472 | 0.8482 | 0.8474 | 0.8472 |
| 2 | 0.0292 | 0.8373 | 0.8402 | 0.8374 | 0.8370 |
| 3 | 0.0236 | 0.8390 | 0.8431 | 0.8392 | 0.8386 |
| 4 | 0.0210 | 0.8395 | 0.8400 | 0.8396 | 0.8395 |
| 5 | 0.0222 | 0.8470 | 0.8473 | 0.8471 | 0.8470 |
| 6 | 0.0111 | 0.8458 | 0.8492 | 0.8459 | 0.8454 |
| 7 | 0.0246 | 0.8387 | 0.8432 | 0.8390 | 0.8383 |
| 8 | 0.0147 | 0.8575 | 0.8575 | 0.8575 | 0.8575 |
| 9 | 0.0122 | 0.8433 | 0.8440 | 0.8433 | 0.8432 |
| 10 | 0.0176 | 0.8273 | 0.8314 | 0.8275 | 0.8268 |
🧪 Evaluasi pada Data Uji
Confusion Matrix
Training
Classification Report
ROC AUC Score
ROC AUC: 0.9370
Test Metrics Summary
Test Loss : 0.7760
Accuracy : 0.8273
Precision : 0.8314
Recall : 0.8275
F1-Score : 0.8268
- Created
- Apr 29, 2025
- Updated
- Jun 2, 2025