Dataset: breast_cancer_wisconsin_diagnostic (classification)
Penalty: 0.0
Seed: 42
Best fitness: -0.0399415999542211
Final val loss: 0.09321555
Final penalty: 0.00000000
Model saved to: exp_2/logs/classification/breast_cancer_wisconsin_diagnostic/models/best_model_penalty_0.0_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 5
  layer_sizes: [30, 29, 30, 5, 30]
  activations: [4, 3, 4, 3, 4]
  dropout_rates: [0.361, 0.322, 0.361, 0.364, 0.232]
  batch_norms: [1, 0, 1, 1, 1]
  learning_rate: 0.0266
  batch_size: 32
  patience: 18
  optimizer_type: 1
  init_type: 0
  l2_penalty: 0.0003

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: 100.0
  precision: 100.0
  recall: 100.0
  f1_score: 100.0
  confusion_matrix: [[54, 0], [0, 32]]
  num_classes: 2
  class_distribution: {0: 54, 1: 32}
