Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.6161254759472773
Final val loss: 0.70695674
Final penalty: 0.00401786
Model saved to: exp_1/logs/classification/heart_disease/LAYER_SIZE_MUTATION_PROB/LAYER_SIZE_MUTATION_PROB=0.3/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 4
  layer_sizes: [4, 7, 1, 10]
  activations: [1, 3, 3, 2]
  dropout_rates: [0.007, 0.116, 0.415, 0.14]
  batch_norms: [1, 0, 1, 1]
  learning_rate: 0.0275
  batch_size: 32
  patience: 16
  optimizer_type: 2
  init_type: 1
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 64.44444444444444
  precision: 23.48739495798319
  recall: 34.166666666666664
  f1_score: 27.292307692307695
  confusion_matrix: [[23, 1, 0, 0, 0], [2, 6, 0, 0, 0], [3, 3, 0, 0, 0], [0, 5, 0, 0, 0], [0, 2, 0, 0, 0]]
  num_classes: 5
  class_distribution: {0: 24, 1: 8, 2: 6, 3: 5, 4: 2}

Test metrics (final):
  accuracy: 56.52173913043478
  precision: 19.391480730223126
  recall: 25.06666666666667
  f1_score: 21.652421652421655
  confusion_matrix: [[23, 2, 0, 0, 0], [6, 3, 0, 0, 0], [0, 5, 0, 0, 0], [0, 5, 0, 0, 0], [0, 2, 0, 0, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
