Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.6061743501536547
Final val loss: 0.68677621
Final penalty: 0.01024845
Model saved to: exp_1/logs/classification/heart_disease/INDIVIDUAL_MUTATION_PROB/INDIVIDUAL_MUTATION_PROB=0.1/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 5
  layer_sizes: [11, 10, 4, 4, 6]
  activations: [3, 2, 3, 3, 2]
  dropout_rates: [0.443, 0.465, 0.48, 0.329, 0.314]
  batch_norms: [0, 0, 1, 1, 0]
  learning_rate: 0.0143
  batch_size: 16
  patience: 10
  optimizer_type: 2
  init_type: 0
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 60.0
  precision: 21.48148148148148
  recall: 32.5
  f1_score: 24.705882352941178
  confusion_matrix: [[23, 0, 1, 0, 0], [2, 0, 6, 0, 0], [2, 0, 4, 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: 22.25
  recall: 39.2
  f1_score: 26.97835497835498
  confusion_matrix: [[24, 0, 1, 0, 0], [6, 0, 3, 0, 0], [0, 0, 5, 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}
