Dataset: heart_disease (classification)
Penalty: 0.2
Seed: 3
Best fitness: -0.8714568746622051
Final val loss: 0.87620579
Final penalty: 0.11860766
Model saved to: logs/classification/heart_disease/models/best_model_penalty_0.2_seed_3.pth

Final architecture & hyperparameters:
  num_layers: 4
  layer_sizes: [31, 8, 26, 10]
  activations: [3, 3, 4, 3]
  dropout_rates: [0.375, 0.424, 0.323, 0.067]
  batch_norms: [1, 1, 1, 1]
  learning_rate: 0.0246
  batch_size: 16
  patience: 13
  optimizer_type: 2
  init_type: 1
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 66.66666666666666
  precision: 43.33333333333334
  recall: 40.66666666666667
  f1_score: 34.92063492063492
  confusion_matrix: [[24, 0, 0, 0, 0], [7, 0, 1, 0, 0], [1, 0, 5, 0, 0], [0, 0, 4, 1, 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: 34.96296296296296
  recall: 38.044444444444444
  f1_score: 31.58974358974359
  confusion_matrix: [[22, 1, 1, 1, 0], [4, 2, 3, 0, 0], [1, 0, 4, 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}
