Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.6474306392688475
Final val loss: 0.65708629
Final penalty: 0.01475155
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: 4
  layer_sizes: [12, 12, 12, 8]
  activations: [3, 3, 3, 3]
  dropout_rates: [0.189, 0.189, 0.189, 0.14]
  batch_norms: [1, 1, 1, 1]
  learning_rate: 0.0229
  batch_size: 16
  patience: 30
  optimizer_type: 2
  init_type: 1
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 66.66666666666666
  precision: 50.86206896551724
  recall: 45.0
  f1_score: 38.47384579904003
  confusion_matrix: [[23, 1, 0, 0, 0], [3, 1, 0, 4, 0], [3, 1, 1, 1, 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: 58.69565217391305
  precision: 21.454545454545453
  recall: 31.2
  f1_score: 24.954545454545453
  confusion_matrix: [[24, 0, 0, 1, 0], [6, 0, 0, 3, 0], [0, 2, 0, 3, 0], [0, 1, 1, 3, 0], [0, 0, 1, 1, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
