Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.6617366118819047
Final val loss: 0.72181435
Final penalty: 0.02371894
Model saved to: exp_1/logs/classification/heart_disease/LAYER_SIZE_MUTATION_PROB/LAYER_SIZE_MUTATION_PROB=0.5/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 3
  layer_sizes: [9, 30, 20]
  activations: [1, 2, 2]
  dropout_rates: [0.14, 0.165, 0.254]
  batch_norms: [1, 1, 1]
  learning_rate: 0.0275
  batch_size: 16
  patience: 22
  optimizer_type: 2
  init_type: 1
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 57.77777777777777
  precision: 30.862068965517242
  recall: 29.666666666666668
  f1_score: 27.51233671988389
  confusion_matrix: [[23, 1, 0, 0, 0], [3, 1, 2, 2, 0], [3, 0, 0, 3, 0], [0, 0, 3, 2, 0], [0, 0, 1, 1, 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, 1, 0, 0], [6, 0, 1, 2, 0], [0, 0, 0, 5, 0], [0, 0, 2, 3, 0], [0, 0, 1, 1, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
