Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.6290823696969065
Final val loss: 0.68936633
Final penalty: 0.01572205
Model saved to: exp_1/logs/classification/heart_disease/INDIVIDUAL_MUTATION_PROB/INDIVIDUAL_MUTATION_PROB=0.3/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 3
  layer_sizes: [10, 24, 10]
  activations: [3, 3, 3]
  dropout_rates: [0.09, 0.195, 0.25]
  batch_norms: [1, 1, 1]
  learning_rate: 0.0227
  batch_size: 32
  patience: 15
  optimizer_type: 2
  init_type: 0
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 66.66666666666666
  precision: 35.09523809523809
  recall: 42.66666666666667
  f1_score: 36.33484162895928
  confusion_matrix: [[23, 0, 0, 1, 0], [2, 3, 0, 3, 0], [3, 1, 0, 2, 0], [0, 1, 0, 4, 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: 60.86956521739131
  precision: 21.19815668202765
  recall: 35.199999999999996
  f1_score: 25.563909774436087
  confusion_matrix: [[24, 0, 0, 1, 0], [6, 0, 0, 3, 0], [0, 1, 0, 4, 0], [1, 0, 0, 4, 0], [0, 0, 0, 2, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
