Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.6045684636350218
Final val loss: 0.67014388
Final penalty: 0.01116071
Model saved to: exp_1/logs/classification/heart_disease/ATTRIBUTE_MUTATION_PROB/ATTRIBUTE_MUTATION_PROB=0.5/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 4
  layer_sizes: [5, 24, 10, 5]
  activations: [3, 1, 3, 3]
  dropout_rates: [0.02, 0.453, 0.375, 0.02]
  batch_norms: [0, 1, 0, 1]
  learning_rate: 0.0163
  batch_size: 16
  patience: 12
  optimizer_type: 2
  init_type: 0
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 62.22222222222222
  precision: 27.142857142857146
  recall: 36.0
  f1_score: 30.76923076923077
  confusion_matrix: [[24, 0, 0, 0, 0], [3, 0, 4, 1, 0], [1, 4, 0, 1, 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: 65.21739130434783
  precision: 42.666666666666664
  recall: 41.422222222222224
  f1_score: 36.216959511077164
  confusion_matrix: [[24, 0, 0, 1, 0], [6, 1, 0, 2, 0], [0, 1, 1, 3, 0], [0, 0, 1, 4, 0], [0, 0, 0, 2, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
