Dataset: breast_cancer_wisconsin_diagnostic (classification)
Penalty: 0.1
Seed: 37
Best fitness: -0.08164772712123719
Final val loss: 0.06151818
Final penalty: 0.09426052
Model saved to: logs/classification/breast_cancer_wisconsin_diagnostic/models/best_model_penalty_0.1_seed_37.pth

Final architecture & hyperparameters:
  num_layers: 5
  layer_sizes: [22, 16, 26, 14, 14]
  activations: [4, 4, 4, 1, 3]
  dropout_rates: [0.45, 0.386, 0.103, 0.396, 0.008]
  batch_norms: [0, 0, 0, 0, 0]
  learning_rate: 0.0087
  batch_size: 32
  patience: 24
  optimizer_type: 2
  init_type: 0
  l2_penalty: 0.0

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: 96.51162790697676
  precision: 96.02630074328188
  recall: 96.58564814814814
  f1_score: 96.2904385334292
  confusion_matrix: [[52, 2], [1, 31]]
  num_classes: 2
  class_distribution: {0: 54, 1: 32}
