Dataset: heart_disease (classification)
Penalty: 0.0
Seed: 73
Best fitness: -0.8760934127701654
Final val loss: 0.94006669
Final penalty: 0.00000000
Model saved to: logs/classification/heart_disease/models/best_model_penalty_0.0_seed_73.pth

Final architecture & hyperparameters:
  num_layers: 5
  layer_sizes: [30, 30, 13, 28, 23]
  activations: [3, 3, 3, 1, 4]
  dropout_rates: [0.086, 0.36, 0.176, 0.436, 0.01]
  batch_norms: [1, 1, 0, 0, 0]
  learning_rate: 0.0089
  batch_size: 16
  patience: 18
  optimizer_type: 2
  init_type: 0
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 64.44444444444444
  precision: 50.98701298701299
  recall: 42.666666666666664
  f1_score: 38.79120879120879
  confusion_matrix: [[22, 1, 0, 1, 0], [5, 2, 0, 1, 0], [1, 1, 1, 3, 0], [0, 1, 0, 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: 67.3913043478261
  precision: 34.57478005865103
  recall: 43.644444444444446
  f1_score: 35.79670329670329
  confusion_matrix: [[24, 1, 0, 0, 0], [4, 2, 0, 3, 0], [2, 1, 0, 2, 0], [0, 0, 0, 5, 0], [1, 0, 0, 1, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
