Dataset: heart_disease (classification)
Penalty: 0.3
Seed: 19
Best fitness: -0.9364924565041792
Final val loss: 0.93362146
Final penalty: 0.17926301
Model saved to: logs/classification/heart_disease/models/best_model_penalty_0.3_seed_19.pth

Final architecture & hyperparameters:
  num_layers: 4
  layer_sizes: [15, 31, 17, 16]
  activations: [2, 2, 2, 2]
  dropout_rates: [0.134, 0.236, 0.416, 0.02]
  batch_norms: [0, 1, 1, 1]
  learning_rate: 0.0136
  batch_size: 16
  patience: 18
  optimizer_type: 2
  init_type: 0
  l2_penalty: 0.0002

Validation metrics (final):
  accuracy: 60.0
  precision: 20.99255583126551
  recall: 35.16666666666667
  f1_score: 25.616161616161616
  confusion_matrix: [[23, 0, 0, 1, 0], [5, 0, 0, 3, 0], [2, 0, 0, 4, 0], [0, 1, 0, 4, 0], [1, 0, 0, 1, 0]]
  num_classes: 5
  class_distribution: {0: 24, 1: 8, 2: 6, 3: 5, 4: 2}

Test metrics (final):
  accuracy: 60.86956521739131
  precision: 21.744421906693713
  recall: 38.4
  f1_score: 26.127946127946128
  confusion_matrix: [[23, 0, 0, 2, 0], [5, 0, 0, 4, 0], [1, 0, 0, 4, 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}
