Dataset: breast_cancer_wisconsin_diagnostic (classification)
Penalty: 0.2
Seed: 3
Best fitness: -0.047913553033615996
Final val loss: 0.01869501
Final penalty: 0.18872983
Model saved to: logs/classification/breast_cancer_wisconsin_diagnostic/models/best_model_penalty_0.2_seed_3.pth

Final architecture & hyperparameters:
  num_layers: 5
  layer_sizes: [27, 24, 11, 2, 29]
  activations: [3, 4, 4, 3, 1]
  dropout_rates: [0.245, 0.307, 0.37, 0.247, 0.462]
  batch_norms: [0, 0, 0, 1, 0]
  learning_rate: 0.0106
  batch_size: 64
  patience: 26
  optimizer_type: 2
  init_type: 1
  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: 97.67441860465115
  precision: 98.21428571428572
  recall: 96.875
  f1_score: 97.47800586510265
  confusion_matrix: [[54, 0], [2, 30]]
  num_classes: 2
  class_distribution: {0: 54, 1: 32}
