Dataset: breast_cancer_wisconsin_diagnostic (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.05214446904599525
Final val loss: 0.15215946
Final penalty: 0.01042184
Model saved to: exp_2/logs/classification/breast_cancer_wisconsin_diagnostic/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 3
  layer_sizes: [8, 6, 27]
  activations: [3, 4, 3]
  dropout_rates: [0.248, 0.218, 0.08]
  batch_norms: [0, 0, 0]
  learning_rate: 0.0068
  batch_size: 256
  patience: 10
  optimizer_type: 1
  init_type: 1
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 97.6470588235294
  precision: 98.18181818181819
  recall: 96.875
  f1_score: 97.46117084826761
  confusion_matrix: [[53, 0], [2, 30]]
  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}
