Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.643401044617222
Final val loss: 0.64956878
Final penalty: 0.02843556
Model saved to: exp_1/logs/classification/heart_disease/LAYER_SIZE_MUTATION_PROB/LAYER_SIZE_MUTATION_PROB=0.1/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 5
  layer_sizes: [27, 12, 5, 30, 5]
  activations: [1, 1, 3, 3, 3]
  dropout_rates: [0.207, 0.46, 0.309, 0.414, 0.309]
  batch_norms: [1, 1, 1, 0, 1]
  learning_rate: 0.0275
  batch_size: 32
  patience: 29
  optimizer_type: 2
  init_type: 0
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 62.22222222222222
  precision: 23.95555555555556
  recall: 35.833333333333336
  f1_score: 27.108843537414966
  confusion_matrix: [[23, 1, 0, 0, 0], [2, 0, 6, 0, 0], [0, 1, 5, 0, 0], [0, 0, 5, 0, 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: 63.04347826086957
  precision: 22.666666666666664
  recall: 39.2
  f1_score: 27.454545454545453
  confusion_matrix: [[24, 0, 1, 0, 0], [6, 0, 3, 0, 0], [0, 0, 5, 0, 0], [0, 1, 4, 0, 0], [0, 0, 2, 0, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
