Dataset: breast_cancer_wisconsin_diagnostic (classification)
Penalty: 0.1
Seed: 73
Best fitness: -0.01786690020687011
Final val loss: 0.03343028
Final penalty: 0.09093839
Model saved to: logs/classification/breast_cancer_wisconsin_diagnostic/models/best_model_penalty_0.1_seed_73.pth

Final architecture & hyperparameters:
  num_layers: 5
  layer_sizes: [25, 15, 4, 1, 18]
  activations: [3, 4, 3, 3, 4]
  dropout_rates: [0.494, 0.105, 0.377, 0.402, 0.335]
  batch_norms: [0, 1, 1, 0, 0]
  learning_rate: 0.0204
  batch_size: 16
  patience: 13
  optimizer_type: 1
  init_type: 1
  l2_penalty: 0.0005

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: 98.83720930232558
  precision: 99.0909090909091
  recall: 98.4375
  f1_score: 98.74763361001892
  confusion_matrix: [[54, 0], [1, 31]]
  num_classes: 2
  class_distribution: {0: 54, 1: 32}
