Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.6075600849650709
Final val loss: 0.60842055
Final penalty: 0.01682842
Model saved to: exp_1/logs/classification/heart_disease/LAYER_SIZE_MUTATION_PROB/LAYER_SIZE_MUTATION_PROB=0.2/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 5
  layer_sizes: [5, 24, 13, 13, 7]
  activations: [3, 3, 2, 1, 3]
  dropout_rates: [0.007, 0.317, 0.251, 0.129, 0.282]
  batch_norms: [1, 0, 1, 1, 1]
  learning_rate: 0.0275
  batch_size: 64
  patience: 19
  optimizer_type: 2
  init_type: 0
  l2_penalty: 0.0003

Validation metrics (final):
  accuracy: 64.44444444444444
  precision: 29.65
  recall: 41.66666666666667
  f1_score: 31.63265306122449
  confusion_matrix: [[23, 1, 0, 0, 0], [2, 1, 0, 5, 0], [0, 2, 0, 4, 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: 60.86956521739131
  precision: 21.744421906693713
  recall: 38.4
  f1_score: 26.127946127946128
  confusion_matrix: [[23, 0, 0, 2, 0], [6, 0, 0, 3, 0], [0, 0, 0, 5, 0], [0, 0, 0, 5, 0], [0, 0, 0, 2, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
