Dataset: breast_cancer_wisconsin_diagnostic (classification)
Penalty: 0.1
Seed: 7
Best fitness: -0.021210820000138353
Final val loss: 0.00543783
Final penalty: 0.09262055
Model saved to: logs/classification/breast_cancer_wisconsin_diagnostic/models/best_model_penalty_0.1_seed_7.pth

Final architecture & hyperparameters:
  num_layers: 5
  layer_sizes: [7, 6, 29, 31, 4]
  activations: [3, 3, 4, 1, 4]
  dropout_rates: [0.197, 0.122, 0.22, 0.312, 0.391]
  batch_norms: [0, 0, 0, 0, 0]
  learning_rate: 0.0155
  batch_size: 32
  patience: 30
  optimizer_type: 2
  init_type: 1
  l2_penalty: 0.0003

Validation metrics (final):
  accuracy: 100.0
  precision: 100.0
  recall: 100.0
  f1_score: 100.0
  confusion_matrix: [[53, 0], [0, 32]]
  num_classes: 2
  class_distribution: {0: 53, 1: 32}

Test metrics (final):
  accuracy: 93.02325581395348
  precision: 93.90394088669952
  recall: 91.26157407407408
  f1_score: 92.32142857142858
  confusion_matrix: [[53, 1], [5, 27]]
  num_classes: 2
  class_distribution: {0: 54, 1: 32}
