Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.6598954752308731
Final val loss: 0.70936010
Final penalty: 0.01661491
Model saved to: exp_1/logs/classification/heart_disease/SOL_PER_POP/SOL_PER_POP=25/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 3
  layer_sizes: [8, 19, 20]
  activations: [1, 4, 3]
  dropout_rates: [0.14, 0.277, 0.209]
  batch_norms: [1, 1, 0]
  learning_rate: 0.0143
  batch_size: 16
  patience: 16
  optimizer_type: 2
  init_type: 0
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 64.44444444444444
  precision: 49.26666666666667
  recall: 38.166666666666664
  f1_score: 37.3215025140491
  confusion_matrix: [[22, 2, 0, 0, 0], [2, 5, 1, 0, 0], [1, 4, 1, 0, 0], [0, 2, 2, 1, 0], [0, 2, 0, 0, 0]]
  num_classes: 5
  class_distribution: {0: 24, 1: 8, 2: 6, 3: 5, 4: 2}

Test metrics (final):
  accuracy: 58.69565217391305
  precision: 22.006269592476492
  recall: 25.866666666666667
  f1_score: 23.77777777777778
  confusion_matrix: [[24, 0, 1, 0, 0], [5, 3, 1, 0, 0], [0, 4, 0, 1, 0], [0, 3, 2, 0, 0], [0, 1, 1, 0, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
