Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 37
Best fitness: -0.8281554659664957
Final val loss: 0.90851259
Final penalty: 0.09117772
Model saved to: logs/classification/heart_disease/models/best_model_penalty_0.1_seed_37.pth

Final architecture & hyperparameters:
  num_layers: 5
  layer_sizes: [4, 11, 28, 20, 4]
  activations: [3, 1, 2, 1, 3]
  dropout_rates: [0.174, 0.114, 0.245, 0.406, 0.017]
  batch_norms: [1, 1, 0, 0, 1]
  learning_rate: 0.0299
  batch_size: 16
  patience: 30
  optimizer_type: 2
  init_type: 1
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 64.44444444444444
  precision: 24.564102564102566
  recall: 39.16666666666667
  f1_score: 29.668615984405456
  confusion_matrix: [[23, 1, 0, 0, 0], [6, 0, 2, 0, 0], [0, 0, 6, 0, 0], [0, 1, 4, 0, 0], [1, 0, 1, 0, 0]]
  num_classes: 5
  class_distribution: {0: 24, 1: 8, 2: 6, 3: 5, 4: 2}

Test metrics (final):
  accuracy: 58.69565217391305
  precision: 19.545454545454547
  recall: 31.2
  f1_score: 23.6105476673428
  confusion_matrix: [[24, 0, 1, 0, 0], [5, 0, 4, 0, 0], [2, 0, 3, 0, 0], [1, 1, 3, 0, 0], [1, 0, 1, 0, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
