Dataset: heart_disease (classification)
Penalty: 0.3
Seed: 42
Best fitness: -0.628378472782329
Final val loss: 0.66682877
Final penalty: 0.07686335
Model saved to: exp_2/logs/classification/heart_disease/models/best_model_penalty_0.3_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 5
  layer_sizes: [5, 17, 28, 18, 5]
  activations: [3, 2, 2, 3, 3]
  dropout_rates: [0.043, 0.152, 0.24, 0.114, 0.043]
  batch_norms: [1, 0, 1, 0, 1]
  learning_rate: 0.0229
  batch_size: 64
  patience: 18
  optimizer_type: 2
  init_type: 0
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 57.77777777777777
  precision: 25.6
  recall: 30.83333333333333
  f1_score: 26.750392464678175
  confusion_matrix: [[22, 2, 0, 0, 0], [2, 1, 5, 0, 0], [1, 2, 3, 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: 65.21739130434783
  precision: 42.666666666666664
  recall: 41.422222222222224
  f1_score: 31.454545454545457
  confusion_matrix: [[24, 0, 1, 0, 0], [6, 1, 2, 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}
