Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.6356618845272113
Final val loss: 0.69803983
Final penalty: 0.02212733
Model saved to: exp_1/logs/classification/heart_disease/K_TOURNAMENT/K_TOURNAMENT=10/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 3
  layer_sizes: [30, 4, 20]
  activations: [1, 3, 3]
  dropout_rates: [0.003, 0.308, 0.209]
  batch_norms: [0, 1, 0]
  learning_rate: 0.0275
  batch_size: 16
  patience: 20
  optimizer_type: 1
  init_type: 0
  l2_penalty: 0.0001

Validation metrics (final):
  accuracy: 57.77777777777777
  precision: 20.18808777429467
  recall: 26.666666666666668
  f1_score: 22.81908990011099
  confusion_matrix: [[24, 0, 0, 0, 0], [3, 0, 3, 2, 0], [2, 2, 2, 0, 0], [0, 0, 5, 0, 0], [0, 0, 1, 1, 0]]
  num_classes: 5
  class_distribution: {0: 24, 1: 8, 2: 6, 3: 5, 4: 2}

Test metrics (final):
  accuracy: 63.04347826086957
  precision: 22.62672811059908
  recall: 39.2
  f1_score: 27.669172932330827
  confusion_matrix: [[24, 0, 1, 0, 0], [7, 0, 1, 1, 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}
