Dataset: heart_disease (classification)
Penalty: 0.3
Seed: 42
Best fitness: -0.6835554406458619
Final val loss: 0.73763882
Final penalty: 0.04349767
Model saved to: exp_2/logs/classification/heart_disease/models/best_model_penalty_0.3_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 3
  layer_sizes: [14, 12, 11]
  activations: [3, 3, 4]
  dropout_rates: [0.066, 0.304, 0.24]
  batch_norms: [0, 1, 1]
  learning_rate: 0.0097
  batch_size: 16
  patience: 24
  optimizer_type: 2
  init_type: 0
  l2_penalty: 0.0003

Validation metrics (final):
  accuracy: 60.0
  precision: 30.95238095238095
  recall: 33.00000000000001
  f1_score: 31.375291375291383
  confusion_matrix: [[23, 1, 0, 0, 0], [3, 1, 3, 1, 0], [2, 2, 1, 1, 0], [0, 0, 3, 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: 63.04347826086957
  precision: 37.666666666666664
  recall: 37.42222222222222
  f1_score: 34.51748251748252
  confusion_matrix: [[24, 0, 1, 0, 0], [6, 1, 1, 1, 0], [0, 1, 2, 2, 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}
