Dataset: concrete_compressive_strength (regression)
Penalty: 0.1
Seed: 42
Best fitness: -0.07915242024041988
Final val loss: 0.08500685
Final penalty: 0.04333333
Model saved to: exp_2/logs/regression/concrete_compressive_strength/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 4
  layer_sizes: [6, 12, 8, 2]
  activations: [3, 1, 4, 1]
  dropout_rates: [0.017, 0.124, 0.346, 0.034]
  batch_norms: [0, 1, 1, 0]
  learning_rate: 0.0245
  batch_size: 16
  patience: 14
  optimizer_type: 2
  init_type: 0
  l2_penalty: 0.002

Validation metrics (final):
  mae: 5.051067352294922
  mse: 41.18535614013672
  rmse: 6.417581798476489
  r2_score: 0.8571922779083252
  mape: 18.48297417163849
  residual_std: 6.417451858520508
  prediction_std: 14.821516990661621
  target_std: 16.982261657714844
  normalized_mae: 0.06544528805807988
  normalized_rmse: 0.08315083924722554
  num_samples: 154
  target_range: 77.18000030517578
  prediction_range: 58.793846130371094

Test metrics (final):
  mae: 5.3209309577941895
  mse: 43.22495651245117
  rmse: 6.574568922176661
  r2_score: 0.8272935152053833
  mape: 18.081216514110565
  residual_std: 6.551303386688232
  prediction_std: 14.571942329406738
  target_std: 15.820235252380371
  normalized_mae: 0.07610026482464233
  normalized_rmse: 0.09402986809152646
  num_samples: 155
  target_range: 69.92000579833984
  prediction_range: 58.773193359375
