Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.6092593823290613
Final val loss: 0.67887640
Final penalty: 0.00621118
Model saved to: exp_1/logs/classification/heart_disease/LAYER_SIZE_MUTATION_PROB/LAYER_SIZE_MUTATION_PROB=0.1/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 4
  layer_sizes: [7, 7, 6, 3]
  activations: [1, 4, 4, 3]
  dropout_rates: [0.028, 0.298, 0.292, 0.181]
  batch_norms: [1, 0, 1, 1]
  learning_rate: 0.0229
  batch_size: 32
  patience: 26
  optimizer_type: 2
  init_type: 1
  l2_penalty: 0.0004

Validation metrics (final):
  accuracy: 64.44444444444444
  precision: 30.51282051282051
  recall: 40.16666666666667
  f1_score: 33.0031746031746
  confusion_matrix: [[23, 1, 0, 0, 0], [2, 2, 0, 4, 0], [1, 2, 0, 3, 0], [0, 1, 0, 4, 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}
