Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.6333882245301458
Final val loss: 0.72013759
Final penalty: 0.00698758
Model saved to: exp_1/logs/classification/heart_disease/LAYER_MUTATION_PROB/LAYER_MUTATION_PROB=0.1/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 5
  layer_sizes: [4, 2, 4, 16, 8]
  activations: [3, 2, 3, 3, 3]
  dropout_rates: [0.007, 0.23, 0.007, 0.243, 0.14]
  batch_norms: [1, 1, 1, 1, 1]
  learning_rate: 0.0275
  batch_size: 16
  patience: 10
  optimizer_type: 2
  init_type: 1
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 60.0
  precision: 23.15555555555556
  recall: 38.33333333333333
  f1_score: 26.65483584738243
  confusion_matrix: [[22, 0, 0, 2, 0], [2, 0, 2, 4, 0], [1, 0, 0, 5, 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: 63.04347826086957
  precision: 22.25
  recall: 39.2
  f1_score: 26.97835497835498
  confusion_matrix: [[24, 0, 0, 1, 0], [6, 0, 0, 3, 0], [0, 0, 0, 5, 0], [0, 0, 0, 5, 0], [0, 0, 0, 2, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
