Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.634059705461676
Final val loss: 0.66167676
Final penalty: 0.00500776
Model saved to: exp_1/logs/classification/heart_disease/ATTRIBUTE_MUTATION_PROB/ATTRIBUTE_MUTATION_PROB=0.05/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 3
  layer_sizes: [5, 8, 6]
  activations: [1, 4, 3]
  dropout_rates: [0.007, 0.483, 0.007]
  batch_norms: [1, 1, 1]
  learning_rate: 0.0229
  batch_size: 16
  patience: 10
  optimizer_type: 2
  init_type: 1
  l2_penalty: 0.0001

Validation metrics (final):
  accuracy: 62.22222222222222
  precision: 32.817204301075265
  recall: 34.66666666666667
  f1_score: 32.45454545454545
  confusion_matrix: [[24, 0, 0, 0, 0], [4, 0, 3, 1, 0], [3, 1, 2, 0, 0], [0, 0, 3, 2, 0], [0, 0, 2, 0, 0]]
  num_classes: 5
  class_distribution: {0: 24, 1: 8, 2: 6, 3: 5, 4: 2}

Test metrics (final):
  accuracy: 63.04347826086957
  precision: 32.1505376344086
  recall: 37.422222222222224
  f1_score: 30.190985485103134
  confusion_matrix: [[24, 0, 0, 1, 0], [6, 1, 2, 0, 0], [1, 0, 4, 0, 0], [0, 1, 4, 0, 0], [0, 0, 2, 0, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
