Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.6411663992478299
Final val loss: 0.66933108
Final penalty: 0.01597438
Model saved to: exp_1/logs/classification/heart_disease/LAYER_MUTATION_PROB/LAYER_MUTATION_PROB=0.05/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 3
  layer_sizes: [9, 17, 19]
  activations: [3, 4, 3]
  dropout_rates: [0.308, 0.401, 0.328]
  batch_norms: [1, 1, 1]
  learning_rate: 0.0204
  batch_size: 16
  patience: 18
  optimizer_type: 2
  init_type: 1
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 64.44444444444444
  precision: 29.051724137931036
  recall: 37.0
  f1_score: 32.34397677793904
  confusion_matrix: [[24, 0, 0, 0, 0], [3, 2, 0, 3, 0], [2, 3, 0, 1, 0], [0, 2, 0, 3, 0], [0, 1, 0, 1, 0]]
  num_classes: 5
  class_distribution: {0: 24, 1: 8, 2: 6, 3: 5, 4: 2}

Test metrics (final):
  accuracy: 63.04347826086957
  precision: 27.272727272727277
  recall: 37.422222222222224
  f1_score: 30.31168831168831
  confusion_matrix: [[24, 1, 0, 0, 0], [6, 1, 0, 2, 0], [0, 2, 0, 3, 0], [0, 1, 0, 4, 0], [0, 0, 0, 2, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
