Dataset: breast_cancer_wisconsin_diagnostic (classification)
Penalty: 0.3
Seed: 3
Best fitness: -0.0408647118707178
Final val loss: 0.03044366
Final penalty: 0.26629946
Model saved to: logs/classification/breast_cancer_wisconsin_diagnostic/models/best_model_penalty_0.3_seed_3.pth

Final architecture & hyperparameters:
  num_layers: 5
  layer_sizes: [8, 10, 14, 7, 8]
  activations: [4, 3, 4, 1, 4]
  dropout_rates: [0.218, 0.332, 0.159, 0.472, 0.218]
  batch_norms: [0, 1, 0, 1, 0]
  learning_rate: 0.0278
  batch_size: 32
  patience: 26
  optimizer_type: 1
  init_type: 0
  l2_penalty: 0.0006

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: 97.51157407407408
  recall: 97.51157407407408
  f1_score: 97.51157407407408
  confusion_matrix: [[53, 1], [1, 31]]
  num_classes: 2
  class_distribution: {0: 54, 1: 32}
