Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.6048045837839201
Final val loss: 0.66502398
Final penalty: 0.00689053
Model saved to: exp_1/logs/classification/heart_disease/HYPERPARAM_MUTATION_PROB/HYPERPARAM_MUTATION_PROB=0.2/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 2
  layer_sizes: [10, 5]
  activations: [4, 2]
  dropout_rates: [0.062, 0.252]
  batch_norms: [0, 0]
  learning_rate: 0.0229
  batch_size: 64
  patience: 11
  optimizer_type: 2
  init_type: 0
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 60.0
  precision: 27.68571428571428
  recall: 31.66666666666667
  f1_score: 28.10884353741497
  confusion_matrix: [[23, 1, 0, 0, 0], [2, 1, 4, 1, 0], [0, 2, 3, 1, 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: 60.86956521739131
  precision: 21.333333333333332
  recall: 35.199999999999996
  f1_score: 25.454545454545453
  confusion_matrix: [[24, 0, 1, 0, 0], [6, 0, 3, 0, 0], [0, 1, 4, 0, 0], [0, 0, 5, 0, 0], [0, 0, 2, 0, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
