Dataset: breast_cancer_wisconsin_diagnostic (classification)
Penalty: 0.3
Seed: 7
Best fitness: -0.06719304752865954
Final val loss: 0.01965082
Final penalty: 0.09969073
Model saved to: logs/classification/breast_cancer_wisconsin_diagnostic/models/best_model_penalty_0.3_seed_7.pth

Final architecture & hyperparameters:
  num_layers: 3
  layer_sizes: [22, 2, 28]
  activations: [3, 1, 3]
  dropout_rates: [0.399, 0.418, 0.214]
  batch_norms: [0, 0, 0]
  learning_rate: 0.0205
  batch_size: 64
  patience: 17
  optimizer_type: 1
  init_type: 0
  l2_penalty: 0.0001

Validation metrics (final):
  accuracy: 98.82352941176471
  precision: 99.07407407407408
  recall: 98.4375
  f1_score: 98.73905948672304
  confusion_matrix: [[53, 0], [1, 31]]
  num_classes: 2
  class_distribution: {0: 53, 1: 32}

Test metrics (final):
  accuracy: 95.34883720930233
  precision: 95.6547619047619
  recall: 94.38657407407408
  f1_score: 94.95601173020528
  confusion_matrix: [[53, 1], [3, 29]]
  num_classes: 2
  class_distribution: {0: 54, 1: 32}
