Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.6277926859887609
Final val loss: 0.67589510
Final penalty: 0.01381988
Model saved to: exp_1/logs/classification/heart_disease/INDIVIDUAL_MUTATION_PROB/INDIVIDUAL_MUTATION_PROB=0.4/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 3
  layer_sizes: [4, 26, 16]
  activations: [4, 1, 2]
  dropout_rates: [0.133, 0.29, 0.14]
  batch_norms: [1, 0, 0]
  learning_rate: 0.0174
  batch_size: 16
  patience: 17
  optimizer_type: 2
  init_type: 1
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 60.0
  precision: 31.9047619047619
  recall: 35.333333333333336
  f1_score: 33.33333333333333
  confusion_matrix: [[22, 2, 0, 0, 0], [2, 2, 3, 1, 0], [0, 4, 0, 2, 0], [0, 0, 2, 3, 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: 52.17391304347826
  precision: 18.7192118226601
  recall: 22.400000000000002
  f1_score: 20.370370370370374
  confusion_matrix: [[23, 1, 1, 0, 0], [6, 0, 2, 1, 0], [0, 1, 0, 4, 0], [0, 0, 4, 1, 0], [0, 0, 1, 1, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
