Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.6217730581656559
Final val loss: 0.65492692
Final penalty: 0.02628106
Model saved to: exp_1/logs/classification/heart_disease/INDIVIDUAL_MUTATION_PROB/INDIVIDUAL_MUTATION_PROB=0.3/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 5
  layer_sizes: [10, 5, 23, 27, 9]
  activations: [2, 1, 2, 2, 2]
  dropout_rates: [0.023, 0.357, 0.43, 0.358, 0.048]
  batch_norms: [1, 0, 1, 0, 1]
  learning_rate: 0.0284
  batch_size: 32
  patience: 17
  optimizer_type: 2
  init_type: 0
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 62.22222222222222
  precision: 23.247863247863247
  recall: 39.16666666666667
  f1_score: 27.09565217391304
  confusion_matrix: [[23, 1, 0, 0, 0], [3, 0, 0, 5, 0], [0, 0, 0, 6, 0], [0, 0, 0, 5, 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: 63.04347826086957
  precision: 22.25
  recall: 39.2
  f1_score: 26.97835497835498
  confusion_matrix: [[24, 0, 0, 1, 0], [6, 0, 0, 3, 0], [0, 0, 0, 5, 0], [0, 0, 0, 5, 0], [0, 0, 0, 2, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
