Dataset: heart_disease (classification)
Penalty: 0.2
Seed: 19
Best fitness: -0.872618954552885
Final val loss: 0.86010484
Final penalty: 0.18770776
Model saved to: logs/classification/heart_disease/models/best_model_penalty_0.2_seed_19.pth

Final architecture & hyperparameters:
  num_layers: 5
  layer_sizes: [21, 18, 23, 19, 10]
  activations: [4, 2, 3, 2, 1]
  dropout_rates: [0.104, 0.142, 0.283, 0.351, 0.143]
  batch_norms: [0, 1, 1, 0, 1]
  learning_rate: 0.0284
  batch_size: 32
  patience: 24
  optimizer_type: 2
  init_type: 0
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 60.0
  precision: 21.576354679802954
  recall: 35.16666666666667
  f1_score: 25.779543197616682
  confusion_matrix: [[23, 0, 0, 1, 0], [3, 0, 1, 4, 0], [2, 0, 0, 4, 0], [0, 0, 1, 4, 0], [1, 0, 0, 1, 0]]
  num_classes: 5
  class_distribution: {0: 24, 1: 8, 2: 6, 3: 5, 4: 2}

Test metrics (final):
  accuracy: 58.69565217391305
  precision: 21.85185185185185
  recall: 37.6
  f1_score: 25.618729096989966
  confusion_matrix: [[22, 0, 1, 2, 0], [5, 0, 0, 4, 0], [0, 0, 0, 5, 0], [0, 0, 0, 5, 0], [0, 0, 0, 2, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
