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🧠 Bot Detector LSTM

Model deteksi akun bot berbasis teks dan fitur numerik menggunakan LSTM.


πŸ“ˆ 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

πŸ§ͺ Evaluasi pada Data Uji

Confusion Matrix
Confusion Matrix

Training
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

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