Dataset: breast_cancer_wisconsin_diagnostic (classification)
Penalty: 0.3
Seed: 73
Best fitness: -0.05346810996500728
Final val loss: 0.00612790
Final penalty: 0.27127234
Model saved to: logs/classification/breast_cancer_wisconsin_diagnostic/models/best_model_penalty_0.3_seed_73.pth

Final architecture & hyperparameters:
  num_layers: 5
  layer_sizes: [10, 13, 21, 5, 10]
  activations: [3, 3, 1, 1, 4]
  dropout_rates: [0.043, 0.221, 0.317, 0.156, 0.335]
  batch_norms: [0, 0, 1, 1, 0]
  learning_rate: 0.0204
  batch_size: 32
  patience: 10
  optimizer_type: 2
  init_type: 2
  l2_penalty: 0.0001

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: 96.51162790697676
  precision: 96.56891495601172
  recall: 95.94907407407408
  f1_score: 96.2429008300568
  confusion_matrix: [[53, 1], [2, 30]]
  num_classes: 2
  class_distribution: {0: 54, 1: 32}
