Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.6375799333487693
Final val loss: 0.74082532
Final penalty: 0.02771739
Model saved to: exp_1/logs/classification/heart_disease/ATTRIBUTE_MUTATION_PROB/ATTRIBUTE_MUTATION_PROB=0.1/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 4
  layer_sizes: [11, 20, 20, 20]
  activations: [3, 3, 3, 3]
  dropout_rates: [0.189, 0.178, 0.178, 0.178]
  batch_norms: [1, 0, 0, 0]
  learning_rate: 0.0229
  batch_size: 16
  patience: 27
  optimizer_type: 2
  init_type: 1
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 62.22222222222222
  precision: 52.52873563218391
  recall: 36.33333333333334
  f1_score: 36.24737945492662
  confusion_matrix: [[23, 0, 1, 0, 0], [3, 1, 4, 0, 0], [3, 0, 2, 1, 0], [0, 0, 3, 2, 0], [0, 0, 2, 0, 0]]
  num_classes: 5
  class_distribution: {0: 24, 1: 8, 2: 6, 3: 5, 4: 2}

Test metrics (final):
  accuracy: 58.69565217391305
  precision: 41.1904761904762
  recall: 29.42222222222222
  f1_score: 27.811802232854866
  confusion_matrix: [[24, 0, 0, 1, 0], [6, 1, 1, 1, 0], [1, 0, 1, 3, 0], [1, 0, 3, 1, 0], [0, 0, 1, 1, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
