Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.659720022275852
Final val loss: 0.67669274
Final penalty: 0.01993401
Model saved to: exp_1/logs/classification/heart_disease/HYPERPARAM_MUTATION_PROB/HYPERPARAM_MUTATION_PROB=0.05/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 3
  layer_sizes: [20, 16, 7]
  activations: [2, 1, 3]
  dropout_rates: [0.064, 0.141, 0.282]
  batch_norms: [1, 0, 1]
  learning_rate: 0.0143
  batch_size: 16
  patience: 28
  optimizer_type: 2
  init_type: 1
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 55.55555555555556
  precision: 23.932659932659934
  recall: 27.499999999999996
  f1_score: 25.037707390648567
  confusion_matrix: [[22, 2, 0, 0, 0], [3, 1, 4, 0, 0], [2, 2, 2, 0, 0], [0, 0, 5, 0, 0], [0, 0, 0, 2, 0]]
  num_classes: 5
  class_distribution: {0: 24, 1: 8, 2: 6, 3: 5, 4: 2}

Test metrics (final):
  accuracy: 60.86956521739131
  precision: 28.121212121212118
  recall: 33.422222222222224
  f1_score: 28.287878787878785
  confusion_matrix: [[24, 0, 0, 1, 0], [6, 1, 2, 0, 0], [0, 1, 3, 1, 0], [0, 1, 4, 0, 0], [0, 0, 2, 0, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
