Dataset: breast_cancer_wisconsin_diagnostic (classification)
Penalty: 0.3
Seed: 19
Best fitness: -0.16586314651806855
Final val loss: 0.13970735
Final penalty: 0.02625864
Model saved to: logs/classification/breast_cancer_wisconsin_diagnostic/models/best_model_penalty_0.3_seed_19.pth

Final architecture & hyperparameters:
  num_layers: 1
  layer_sizes: [19]
  activations: [4]
  dropout_rates: [0.272]
  batch_norms: [0]
  learning_rate: 0.0138
  batch_size: 64
  patience: 27
  optimizer_type: 2
  init_type: 0
  l2_penalty: 0.0078

Validation metrics (final):
  accuracy: 96.47058823529412
  precision: 97.32142857142857
  recall: 95.3125
  f1_score: 96.16483681756655
  confusion_matrix: [[53, 0], [3, 29]]
  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}
