Dataset: heart_disease (classification)
Penalty: 0.0
Seed: 3
Best fitness: -0.8136831561724345
Final val loss: 0.88286009
Final penalty: 0.00000000
Model saved to: logs/classification/heart_disease/models/best_model_penalty_0.0_seed_3.pth

Final architecture & hyperparameters:
  num_layers: 5
  layer_sizes: [11, 7, 26, 5, 15]
  activations: [2, 3, 4, 3, 3]
  dropout_rates: [0.108, 0.257, 0.302, 0.335, 0.078]
  batch_norms: [0, 1, 1, 1, 1]
  learning_rate: 0.0216
  batch_size: 16
  patience: 15
  optimizer_type: 2
  init_type: 0
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 64.44444444444444
  precision: 23.81720430107527
  recall: 40.0
  f1_score: 29.219251336898395
  confusion_matrix: [[24, 0, 0, 0, 0], [7, 0, 0, 1, 0], [0, 2, 0, 4, 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: 60.86956521739131
  precision: 31.047619047619047
  recall: 36.62222222222222
  f1_score: 28.78468899521531
  confusion_matrix: [[23, 1, 0, 1, 0], [5, 1, 0, 3, 0], [1, 0, 0, 4, 0], [1, 0, 0, 4, 0], [0, 0, 0, 2, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
