Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.6425606572225527
Final val loss: 0.66352092
Final penalty: 0.01748835
Model saved to: exp_1/logs/classification/heart_disease/ATTRIBUTE_MUTATION_PROB/ATTRIBUTE_MUTATION_PROB=0.1/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 3
  layer_sizes: [27, 3, 8]
  activations: [1, 2, 4]
  dropout_rates: [0.207, 0.134, 0.14]
  batch_norms: [1, 0, 1]
  learning_rate: 0.0275
  batch_size: 32
  patience: 20
  optimizer_type: 2
  init_type: 0
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 68.88888888888889
  precision: 34.83516483516483
  recall: 45.0
  f1_score: 36.23931623931624
  confusion_matrix: [[24, 0, 0, 0, 0], [2, 2, 0, 4, 0], [2, 2, 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}
