Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.6658642494946607
Final val loss: 0.79691347
Final penalty: 0.01521739
Model saved to: exp_1/logs/classification/heart_disease/INDIVIDUAL_MUTATION_PROB/INDIVIDUAL_MUTATION_PROB=0.05/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 4
  layer_sizes: [13, 3, 13, 19]
  activations: [1, 2, 1, 3]
  dropout_rates: [0.227, 0.339, 0.227, 0.328]
  batch_norms: [1, 1, 1, 1]
  learning_rate: 0.0124
  batch_size: 16
  patience: 10
  optimizer_type: 2
  init_type: 1
  l2_penalty: 0.0006

Validation metrics (final):
  accuracy: 57.77777777777777
  precision: 18.687258687258687
  recall: 25.0
  f1_score: 21.07103825136612
  confusion_matrix: [[24, 0, 0, 0, 0], [6, 2, 0, 0, 0], [5, 0, 0, 1, 0], [2, 3, 0, 0, 0], [0, 2, 0, 0, 0]]
  num_classes: 5
  class_distribution: {0: 24, 1: 8, 2: 6, 3: 5, 4: 2}

Test metrics (final):
  accuracy: 63.04347826086957
  precision: 33.15789473684211
  recall: 32.44444444444444
  f1_score: 30.915750915750916
  confusion_matrix: [[25, 0, 0, 0, 0], [7, 2, 0, 0, 0], [4, 0, 0, 1, 0], [2, 1, 0, 2, 0], [0, 1, 0, 1, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
