Dataset: breast_cancer_wisconsin_diagnostic (classification)
Penalty: 0.2
Seed: 73
Best fitness: -0.040161884296251726
Final val loss: 0.00751892
Final penalty: 0.11131580
Model saved to: logs/classification/breast_cancer_wisconsin_diagnostic/models/best_model_penalty_0.2_seed_73.pth

Final architecture & hyperparameters:
  num_layers: 4
  layer_sizes: [9, 20, 5, 11]
  activations: [3, 3, 4, 4]
  dropout_rates: [0.171, 0.484, 0.413, 0.2]
  batch_norms: [0, 0, 1, 1]
  learning_rate: 0.0174
  batch_size: 16
  patience: 18
  optimizer_type: 2
  init_type: 0
  l2_penalty: 0.0

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: 100.0
  precision: 100.0
  recall: 100.0
  f1_score: 100.0
  confusion_matrix: [[54, 0], [0, 32]]
  num_classes: 2
  class_distribution: {0: 54, 1: 32}
