Dataset: breast_cancer_wisconsin_diagnostic (classification)
Penalty: 0.2
Seed: 7
Best fitness: -0.04254021025936217
Final val loss: 0.01726339
Final penalty: 0.19036127
Model saved to: logs/classification/breast_cancer_wisconsin_diagnostic/models/best_model_penalty_0.2_seed_7.pth

Final architecture & hyperparameters:
  num_layers: 5
  layer_sizes: [24, 25, 26, 6, 20]
  activations: [1, 1, 2, 1, 3]
  dropout_rates: [0.047, 0.195, 0.284, 0.171, 0.267]
  batch_norms: [0, 0, 0, 0, 0]
  learning_rate: 0.0291
  batch_size: 16
  patience: 17
  optimizer_type: 1
  init_type: 0
  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: 93.02325581395348
  precision: 93.0952380952381
  recall: 91.89814814814814
  f1_score: 92.43401759530792
  confusion_matrix: [[52, 2], [4, 28]]
  num_classes: 2
  class_distribution: {0: 54, 1: 32}
