Dataset: heart_disease (classification)
Penalty: 0.3
Seed: 7
Best fitness: -0.8816716572691122
Final val loss: 0.96645021
Final penalty: 0.28125000
Model saved to: logs/classification/heart_disease/models/best_model_penalty_0.3_seed_7.pth

Final architecture & hyperparameters:
  num_layers: 5
  layer_sizes: [23, 10, 15, 27, 15]
  activations: [3, 1, 3, 3, 3]
  dropout_rates: [0.1, 0.136, 0.132, 0.257, 0.325]
  batch_norms: [0, 0, 1, 0, 1]
  learning_rate: 0.0108
  batch_size: 16
  patience: 17
  optimizer_type: 2
  init_type: 0
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 57.77777777777777
  precision: 20.886699507389164
  recall: 31.666666666666664
  f1_score: 24.603773584905664
  confusion_matrix: [[22, 1, 1, 0, 0], [6, 0, 2, 0, 0], [1, 1, 4, 0, 0], [0, 0, 5, 0, 0], [0, 0, 2, 0, 0]]
  num_classes: 5
  class_distribution: {0: 24, 1: 8, 2: 6, 3: 5, 4: 2}

Test metrics (final):
  accuracy: 60.86956521739131
  precision: 22.300194931773877
  recall: 38.4
  f1_score: 26.02564102564103
  confusion_matrix: [[23, 0, 2, 0, 0], [4, 0, 5, 0, 0], [0, 0, 5, 0, 0], [0, 0, 5, 0, 0], [0, 0, 2, 0, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
