Dataset: heart_disease (classification)
Penalty: 0.0
Seed: 42
Best fitness: -0.6218074166032315
Final val loss: 0.63067796
Final penalty: 0.00000000
Model saved to: exp_2/logs/classification/heart_disease/models/best_model_penalty_0.0_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 4
  layer_sizes: [17, 7, 17, 28]
  activations: [4, 2, 4, 2]
  dropout_rates: [0.317, 0.457, 0.317, 0.177]
  batch_norms: [1, 1, 1, 0]
  learning_rate: 0.0118
  batch_size: 16
  patience: 27
  optimizer_type: 2
  init_type: 0
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 66.66666666666666
  precision: 29.470085470085465
  recall: 42.5
  f1_score: 33.0115635997989
  confusion_matrix: [[24, 0, 0, 0, 0], [3, 1, 0, 4, 0], [0, 4, 0, 2, 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}
