Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.6161917535064662
Final val loss: 0.70946789
Final penalty: 0.01269410
Model saved to: exp_1/logs/classification/heart_disease/HYPERPARAM_MUTATION_PROB/HYPERPARAM_MUTATION_PROB=0.4/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 3
  layer_sizes: [7, 24, 10]
  activations: [3, 3, 3]
  dropout_rates: [0.14, 0.29, 0.124]
  batch_norms: [1, 0, 0]
  learning_rate: 0.0186
  batch_size: 32
  patience: 12
  optimizer_type: 2
  init_type: 0
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 57.77777777777777
  precision: 24.00673400673401
  recall: 28.333333333333332
  f1_score: 25.60224089635855
  confusion_matrix: [[23, 1, 0, 0, 0], [3, 1, 3, 1, 0], [1, 3, 2, 0, 0], [0, 1, 4, 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: 60.86956521739131
  precision: 31.0
  recall: 33.422222222222224
  f1_score: 28.149732620320854
  confusion_matrix: [[24, 0, 1, 0, 0], [6, 1, 2, 0, 0], [0, 0, 3, 2, 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}
