Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.5856279616374851
Final val loss: 0.65785444
Final penalty: 0.01024845
Model saved to: exp_1/logs/classification/heart_disease/LAYER_MUTATION_PROB/LAYER_MUTATION_PROB=0.2/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 5
  layer_sizes: [5, 1, 5, 26, 8]
  activations: [3, 4, 3, 3, 3]
  dropout_rates: [0.007, 0.142, 0.007, 0.208, 0.14]
  batch_norms: [1, 0, 1, 0, 1]
  learning_rate: 0.0275
  batch_size: 64
  patience: 10
  optimizer_type: 2
  init_type: 0
  l2_penalty: 0.0002

Validation metrics (final):
  accuracy: 66.66666666666666
  precision: 31.0
  recall: 42.5
  f1_score: 33.178847296494354
  confusion_matrix: [[24, 0, 0, 0, 0], [3, 1, 0, 4, 0], [3, 2, 0, 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: 65.21739130434783
  precision: 48.27272727272727
  recall: 41.422222222222224
  f1_score: 37.1981351981352
  confusion_matrix: [[24, 1, 0, 0, 0], [6, 1, 0, 2, 0], [0, 1, 1, 3, 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}
