Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.6184932107906838
Final val loss: 0.65428062
Final penalty: 0.01182065
Model saved to: exp_1/logs/classification/heart_disease/LAYER_SIZE_MUTATION_PROB/LAYER_SIZE_MUTATION_PROB=0.05/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 3
  layer_sizes: [8, 20, 9]
  activations: [2, 1, 2]
  dropout_rates: [0.159, 0.366, 0.14]
  batch_norms: [1, 0, 1]
  learning_rate: 0.0229
  batch_size: 32
  patience: 17
  optimizer_type: 2
  init_type: 0
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 64.44444444444444
  precision: 31.025641025641022
  recall: 43.33333333333333
  f1_score: 34.44444444444444
  confusion_matrix: [[22, 2, 0, 0, 0], [2, 2, 0, 4, 0], [0, 4, 0, 2, 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: 60.86956521739131
  precision: 22.528735632183906
  recall: 38.4
  f1_score: 27.037037037037038
  confusion_matrix: [[23, 1, 0, 1, 0], [6, 0, 0, 3, 0], [0, 1, 0, 4, 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}
