Dataset: heart_disease (classification)
Penalty: 0.2
Seed: 42
Best fitness: -0.6471735527342025
Final val loss: 0.65866285
Final penalty: 0.01424689
Model saved to: exp_2/logs/classification/heart_disease/models/best_model_penalty_0.2_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 4
  layer_sizes: [6, 12, 6, 5]
  activations: [3, 3, 3, 3]
  dropout_rates: [0.043, 0.468, 0.043, 0.043]
  batch_norms: [1, 1, 1, 1]
  learning_rate: 0.0229
  batch_size: 16
  patience: 13
  optimizer_type: 2
  init_type: 0
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 68.88888888888889
  precision: 34.64285714285714
  recall: 42.00000000000001
  f1_score: 37.69230769230769
  confusion_matrix: [[24, 0, 0, 0, 0], [2, 4, 0, 2, 0], [2, 3, 0, 1, 0], [0, 1, 1, 3, 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: 25.33333333333333
  recall: 33.422222222222224
  f1_score: 28.121212121212125
  confusion_matrix: [[24, 0, 0, 1, 0], [6, 1, 0, 2, 0], [0, 3, 0, 2, 0], [0, 2, 0, 3, 0], [0, 0, 0, 2, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
