Dataset: breast_cancer_wisconsin_diagnostic (classification)
Penalty: 0.2
Seed: 37
Best fitness: -0.10006411008039136
Final val loss: 0.05252946
Final penalty: 0.18187678
Model saved to: logs/classification/breast_cancer_wisconsin_diagnostic/models/best_model_penalty_0.2_seed_37.pth

Final architecture & hyperparameters:
  num_layers: 5
  layer_sizes: [8, 5, 18, 22, 10]
  activations: [2, 1, 4, 2, 3]
  dropout_rates: [0.103, 0.253, 0.364, 0.497, 0.339]
  batch_norms: [0, 1, 1, 0, 1]
  learning_rate: 0.0102
  batch_size: 16
  patience: 15
  optimizer_type: 2
  init_type: 0
  l2_penalty: 0.001

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: 98.83720930232558
  precision: 99.0909090909091
  recall: 98.4375
  f1_score: 98.74763361001892
  confusion_matrix: [[54, 0], [1, 31]]
  num_classes: 2
  class_distribution: {0: 54, 1: 32}
