Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.6461053958439464
Final val loss: 0.65924237
Final penalty: 0.01552795
Model saved to: exp_2/logs/classification/heart_disease/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 4
  layer_sizes: [8, 10, 8, 32]
  activations: [4, 3, 4, 3]
  dropout_rates: [0.31, 0.311, 0.31, 0.447]
  batch_norms: [1, 1, 1, 1]
  learning_rate: 0.0139
  batch_size: 16
  patience: 21
  optimizer_type: 2
  init_type: 1
  l2_penalty: 0.0003

Validation metrics (final):
  accuracy: 66.66666666666666
  precision: 32.05128205128205
  recall: 44.16666666666667
  f1_score: 35.22539682539683
  confusion_matrix: [[23, 1, 0, 0, 0], [2, 2, 0, 4, 0], [1, 3, 0, 2, 0], [0, 0, 0, 5, 0], [0, 0, 0, 2, 0]]
  num_classes: 5
  class_distribution: {0: 24, 1: 8, 2: 6, 3: 5, 4: 2}

Test metrics (final):
  accuracy: 63.04347826086957
  precision: 28.82051282051282
  recall: 37.422222222222224
  f1_score: 29.676767676767675
  confusion_matrix: [[24, 0, 0, 1, 0], [6, 1, 0, 2, 0], [0, 1, 0, 4, 0], [0, 1, 0, 4, 0], [0, 0, 0, 2, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
