Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.6427399172672751
Final val loss: 0.67906338
Final penalty: 0.00456134
Model saved to: exp_1/logs/classification/heart_disease/LAYER_MUTATION_PROB/LAYER_MUTATION_PROB=0.5/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 3
  layer_sizes: [5, 5, 7]
  activations: [1, 1, 3]
  dropout_rates: [0.007, 0.007, 0.282]
  batch_norms: [1, 1, 1]
  learning_rate: 0.0275
  batch_size: 16
  patience: 17
  optimizer_type: 2
  init_type: 1
  l2_penalty: 0.0002

Validation metrics (final):
  accuracy: 64.44444444444444
  precision: 37.41798941798941
  recall: 38.833333333333336
  f1_score: 37.90734755440638
  confusion_matrix: [[23, 1, 0, 0, 0], [2, 2, 3, 1, 0], [2, 2, 2, 0, 0], [0, 1, 2, 2, 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: 27.500000000000004
  recall: 35.199999999999996
  f1_score: 30.685314685314687
  confusion_matrix: [[24, 1, 0, 0, 0], [6, 0, 1, 2, 0], [0, 1, 3, 1, 0], [0, 1, 3, 1, 0], [0, 0, 1, 1, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
