Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.6539089630727736
Final val loss: 0.67560529
Final penalty: 0.02612578
Model saved to: exp_1/logs/classification/heart_disease/SOL_PER_POP/SOL_PER_POP=100/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 4
  layer_sizes: [17, 25, 10, 13]
  activations: [4, 1, 3, 3]
  dropout_rates: [0.195, 0.142, 0.195, 0.372]
  batch_norms: [1, 1, 0, 1]
  learning_rate: 0.0097
  batch_size: 16
  patience: 10
  optimizer_type: 2
  init_type: 0
  l2_penalty: 0.0001

Validation metrics (final):
  accuracy: 64.44444444444444
  precision: 37.408866995073886
  recall: 36.33333333333334
  f1_score: 35.85679729075955
  confusion_matrix: [[24, 0, 0, 0, 0], [2, 2, 4, 0, 0], [3, 1, 1, 1, 0], [0, 1, 2, 2, 0], [0, 0, 0, 2, 0]]
  num_classes: 5
  class_distribution: {0: 24, 1: 8, 2: 6, 3: 5, 4: 2}

Test metrics (final):
  accuracy: 58.69565217391305
  precision: 28.341013824884794
  recall: 31.2
  f1_score: 29.36507936507936
  confusion_matrix: [[24, 1, 0, 0, 0], [7, 0, 2, 0, 0], [0, 3, 1, 1, 0], [0, 0, 3, 2, 0], [0, 0, 1, 1, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
