Dataset: iris (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.09666723294508664
Final val loss: 0.33111522
Final penalty: 0.03333333
Model saved to: exp_1/logs/classification/iris/SOL_PER_POP/SOL_PER_POP=100/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 2
  layer_sizes: [2, 6]
  activations: [3, 1]
  dropout_rates: [0.032, 0.477]
  batch_norms: [0, 0]
  learning_rate: 0.0275
  batch_size: 16
  patience: 19
  optimizer_type: 2
  init_type: 3
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 90.9090909090909
  precision: 92.5925925925926
  recall: 90.47619047619048
  f1_score: 90.27777777777779
  confusion_matrix: [[8, 0, 0], [0, 7, 0], [0, 2, 5]]
  num_classes: 3
  class_distribution: {0: 8, 1: 7, 2: 7}

Test metrics (final):
  accuracy: 95.65217391304348
  precision: 96.29629629629629
  recall: 95.83333333333334
  f1_score: 95.81699346405229
  confusion_matrix: [[7, 0, 0], [0, 8, 0], [0, 1, 7]]
  num_classes: 3
  class_distribution: {0: 7, 1: 8, 2: 8}
