Dataset: heart_disease (classification)
Penalty: 0.0
Seed: 42
Best fitness: -0.6129675063322252
Final val loss: 0.67688317
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: 3
  layer_sizes: [27, 29, 10]
  activations: [3, 2, 3]
  dropout_rates: [0.141, 0.345, 0.013]
  batch_norms: [0, 1, 1]
  learning_rate: 0.0139
  batch_size: 16
  patience: 14
  optimizer_type: 2
  init_type: 0
  l2_penalty: 0.0014

Validation metrics (final):
  accuracy: 64.44444444444444
  precision: 38.0
  recall: 42.666666666666664
  f1_score: 38.44444444444444
  confusion_matrix: [[22, 2, 0, 0, 0], [2, 2, 1, 3, 0], [0, 4, 1, 1, 0], [0, 0, 1, 4, 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: 58.69565217391305
  precision: 30.44444444444444
  recall: 29.42222222222222
  f1_score: 26.805194805194805
  confusion_matrix: [[24, 0, 1, 0, 0], [6, 1, 0, 2, 0], [0, 1, 0, 4, 0], [0, 0, 3, 2, 0], [0, 0, 1, 1, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
