Dataset: heart_disease (classification)
Penalty: 0.2
Seed: 42
Best fitness: -0.6584173029643773
Final val loss: 0.68158993
Final penalty: 0.01762422
Model saved to: exp_2/logs/classification/heart_disease/models/best_model_penalty_0.2_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 5
  layer_sizes: [8, 6, 14, 1, 14]
  activations: [4, 1, 3, 4, 3]
  dropout_rates: [0.31, 0.284, 0.182, 0.292, 0.182]
  batch_norms: [1, 1, 1, 1, 1]
  learning_rate: 0.0157
  batch_size: 16
  patience: 26
  optimizer_type: 2
  init_type: 1
  l2_penalty: 0.0001

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: 60.86956521739131
  precision: 21.333333333333332
  recall: 35.199999999999996
  f1_score: 25.454545454545453
  confusion_matrix: [[24, 0, 0, 1, 0], [6, 0, 0, 3, 0], [0, 0, 0, 5, 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}
