Dataset: breast_cancer_wisconsin_diagnostic (classification)
Penalty: 0.3
Seed: 42
Best fitness: -0.08774121341935079
Final val loss: 0.12409563
Final penalty: 0.10099256
Model saved to: exp_2/logs/classification/breast_cancer_wisconsin_diagnostic/models/best_model_penalty_0.3_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 5
  layer_sizes: [8, 16, 18, 26, 18]
  activations: [3, 1, 3, 1, 3]
  dropout_rates: [0.248, 0.328, 0.062, 0.44, 0.062]
  batch_norms: [0, 1, 1, 1, 1]
  learning_rate: 0.0118
  batch_size: 16
  patience: 16
  optimizer_type: 2
  init_type: 0
  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: 97.67441860465115
  precision: 98.21428571428572
  recall: 96.875
  f1_score: 97.47800586510265
  confusion_matrix: [[54, 0], [2, 30]]
  num_classes: 2
  class_distribution: {0: 54, 1: 32}
