config.json

{
  "model_type": "transfer_learning_anomaly_detector",
  "architecture": {
    "autoencoder": {
      "input_dim": 7,
      "latent_dim": 8,
      "encoder_dims": [
        16,
        8
      ],
      "decoder_dims": [
        8,
        16
      ],
      "activation": "relu",
      "output_activation": "sigmoid"
    },
    "isolation_forest": {
      "n_estimators": 100,
      "contamination": 0.05,
      "random_state": 42
    }
  },
  "training": {
    "dataset": "NSL-KDD",
    "pretrain_samples": 6400,
    "finetune_samples": 8000,
    "test_samples": 2000,
    "pretrain_epochs": 50,
    "finetune_epochs": 10
  },
  "performance": {
    "accuracy": 0.8295,
    "precision": 0.7438,
    "recall": 0.225,
    "f1_score": 0.3455,
    "roc_auc": 0.96
  },
  "features": [
    "protocol_encoded",
    "packet_length",
    "packet_length_variance",
    "inter_arrival_time",
    "high_port_indicator",
    "low_port_indicator",
    "tcp_flags"
  ],
  "feature_scaling": "StandardScaler (fitted on training data)",
  "created_date": "2025-12-21T10:22:44.552573"
}