Dataset: breast_cancer_wisconsin_diagnostic (classification)
Penalty: 0.3
Seed: 42
Best fitness: -0.056549958475563745
Final val loss: 0.09697362
Final penalty: 0.03722084
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: [3, 15, 25, 3, 3]
  activations: [4, 2, 2, 4, 4]
  dropout_rates: [0.113, 0.279, 0.247, 0.113, 0.113]
  batch_norms: [0, 1, 0, 0, 0]
  learning_rate: 0.0275
  batch_size: 32
  patience: 29
  optimizer_type: 2
  init_type: 1
  l2_penalty: 0.0012

Validation metrics (final):
  accuracy: 97.6470588235294
  precision: 97.49410377358491
  recall: 97.49410377358491
  f1_score: 97.49410377358491
  confusion_matrix: [[52, 1], [1, 31]]
  num_classes: 2
  class_distribution: {0: 53, 1: 32}

Test metrics (final):
  accuracy: 100.0
  precision: 100.0
  recall: 100.0
  f1_score: 100.0
  confusion_matrix: [[54, 0], [0, 32]]
  num_classes: 2
  class_distribution: {0: 54, 1: 32}
