Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.6192431364141951
Final val loss: 0.70924275
Final penalty: 0.01288820
Model saved to: exp_1/logs/classification/heart_disease/ATTRIBUTE_MUTATION_PROB/ATTRIBUTE_MUTATION_PROB=0.4/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 3
  layer_sizes: [8, 25, 8]
  activations: [3, 2, 3]
  dropout_rates: [0.015, 0.203, 0.037]
  batch_norms: [1, 0, 1]
  learning_rate: 0.0284
  batch_size: 16
  patience: 12
  optimizer_type: 2
  init_type: 1
  l2_penalty: 0.0001

Validation metrics (final):
  accuracy: 60.0
  precision: 28.55238095238095
  recall: 33.33333333333333
  f1_score: 29.6734693877551
  confusion_matrix: [[22, 2, 0, 0, 0], [2, 2, 4, 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: 63.04347826086957
  precision: 31.63771712158809
  recall: 37.422222222222224
  f1_score: 29.668109668109665
  confusion_matrix: [[24, 0, 1, 0, 0], [6, 1, 2, 0, 0], [0, 1, 4, 0, 0], [1, 0, 4, 0, 0], [0, 0, 2, 0, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
