Dataset: breast_cancer_wisconsin_diagnostic (classification)
Penalty: 0.0
Seed: 19
Best fitness: -0.09843919728608692
Final val loss: 0.11539124
Final penalty: 0.00000000
Model saved to: logs/classification/breast_cancer_wisconsin_diagnostic/models/best_model_penalty_0.0_seed_19.pth

Final architecture & hyperparameters:
  num_layers: 5
  layer_sizes: [18, 24, 24, 25, 9]
  activations: [3, 4, 1, 2, 2]
  dropout_rates: [0.159, 0.479, 0.189, 0.294, 0.017]
  batch_norms: [0, 0, 0, 0, 1]
  learning_rate: 0.0138
  batch_size: 16
  patience: 27
  optimizer_type: 2
  init_type: 2
  l2_penalty: 0.0004

Validation metrics (final):
  accuracy: 97.6470588235294
  precision: 98.18181818181819
  recall: 96.875
  f1_score: 97.46117084826761
  confusion_matrix: [[53, 0], [2, 30]]
  num_classes: 2
  class_distribution: {0: 53, 1: 32}

Test metrics (final):
  accuracy: 96.51162790697676
  precision: 96.56891495601172
  recall: 95.94907407407408
  f1_score: 96.2429008300568
  confusion_matrix: [[53, 1], [2, 30]]
  num_classes: 2
  class_distribution: {0: 54, 1: 32}
