Dataset: breast_cancer_wisconsin_diagnostic (classification)
Penalty: 0.0
Seed: 42
Best fitness: -0.04932518003772401
Final val loss: 0.10868801
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: 3
  layer_sizes: [21, 3, 18]
  activations: [4, 1, 3]
  dropout_rates: [0.164, 0.135, 0.284]
  batch_norms: [1, 1, 1]
  learning_rate: 0.0118
  batch_size: 64
  patience: 18
  optimizer_type: 2
  init_type: 1
  l2_penalty: 0.0001

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: 98.83720930232558
  precision: 98.48484848484848
  recall: 99.07407407407408
  f1_score: 98.76347951114306
  confusion_matrix: [[53, 1], [0, 32]]
  num_classes: 2
  class_distribution: {0: 54, 1: 32}
