Dataset: heart_disease (classification)
Penalty: 0.0
Seed: 19
Best fitness: -0.8493043316735162
Final val loss: 0.94832859
Final penalty: 0.00000000
Model saved to: logs/classification/heart_disease/models/best_model_penalty_0.0_seed_19.pth

Final architecture & hyperparameters:
  num_layers: 5
  layer_sizes: [26, 31, 12, 21, 19]
  activations: [4, 2, 1, 3, 4]
  dropout_rates: [0.477, 0.456, 0.136, 0.201, 0.361]
  batch_norms: [1, 0, 0, 0, 1]
  learning_rate: 0.0086
  batch_size: 16
  patience: 10
  optimizer_type: 2
  init_type: 0
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 57.77777777777777
  precision: 20.886699507389164
  recall: 34.333333333333336
  f1_score: 25.02482621648461
  confusion_matrix: [[22, 0, 0, 2, 0], [5, 0, 0, 3, 0], [1, 1, 0, 4, 0], [1, 0, 0, 4, 0], [0, 1, 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: 21.596638655462183
  recall: 37.6
  f1_score: 25.69468267581475
  confusion_matrix: [[22, 1, 0, 2, 0], [5, 0, 0, 4, 0], [1, 0, 0, 4, 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}
