Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.608003473289277
Final val loss: 0.68923622
Final penalty: 0.01785714
Model saved to: exp_1/logs/classification/heart_disease/ATTRIBUTE_MUTATION_PROB/ATTRIBUTE_MUTATION_PROB=0.3/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 3
  layer_sizes: [9, 26, 14]
  activations: [4, 1, 2]
  dropout_rates: [0.262, 0.156, 0.255]
  batch_norms: [1, 1, 0]
  learning_rate: 0.0275
  batch_size: 16
  patience: 17
  optimizer_type: 1
  init_type: 0
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 68.88888888888889
  precision: 43.06666666666666
  recall: 46.833333333333336
  f1_score: 43.156462585034014
  confusion_matrix: [[23, 1, 0, 0, 0], [2, 2, 1, 3, 0], [0, 3, 2, 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: 60.86956521739131
  precision: 22.666666666666664
  recall: 35.199999999999996
  f1_score: 26.86631016042781
  confusion_matrix: [[24, 0, 1, 0, 0], [6, 0, 0, 3, 0], [0, 1, 0, 4, 0], [0, 0, 1, 4, 0], [0, 0, 1, 1, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
