Dataset: breast_cancer_wisconsin_diagnostic (classification)
Penalty: 0.3
Seed: 37
Best fitness: -0.11305277007566898
Final val loss: 0.06194398
Final penalty: 0.16560342
Model saved to: logs/classification/breast_cancer_wisconsin_diagnostic/models/best_model_penalty_0.3_seed_37.pth

Final architecture & hyperparameters:
  num_layers: 4
  layer_sizes: [10, 18, 6, 8]
  activations: [3, 2, 1, 4]
  dropout_rates: [0.287, 0.177, 0.165, 0.287]
  batch_norms: [0, 0, 0, 1]
  learning_rate: 0.0204
  batch_size: 16
  patience: 16
  optimizer_type: 2
  init_type: 0
  l2_penalty: 0.0008

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: 97.67441860465115
  precision: 97.51157407407408
  recall: 97.51157407407408
  f1_score: 97.51157407407408
  confusion_matrix: [[53, 1], [1, 31]]
  num_classes: 2
  class_distribution: {0: 54, 1: 32}
