Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.6282117103505865
Final val loss: 0.64821908
Final penalty: 0.02329193
Model saved to: exp_1/logs/classification/heart_disease/LAYER_MUTATION_PROB/LAYER_MUTATION_PROB=0.1/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 5
  layer_sizes: [8, 26, 7, 18, 20]
  activations: [2, 4, 2, 3, 3]
  dropout_rates: [0.052, 0.437, 0.052, 0.491, 0.328]
  batch_norms: [1, 0, 1, 1, 1]
  learning_rate: 0.0171
  batch_size: 32
  patience: 21
  optimizer_type: 2
  init_type: 1
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 64.44444444444444
  precision: 38.30976430976431
  recall: 41.0
  f1_score: 36.11613876319758
  confusion_matrix: [[23, 1, 0, 0, 0], [3, 1, 0, 4, 0], [1, 3, 1, 1, 0], [0, 0, 1, 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: 29.333333333333332
  recall: 37.422222222222224
  f1_score: 30.199643493761137
  confusion_matrix: [[24, 0, 1, 0, 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}
