Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.647497410151188
Final val loss: 0.70627684
Final penalty: 0.01009317
Model saved to: exp_1/logs/classification/heart_disease/HYPERPARAM_MUTATION_PROB/HYPERPARAM_MUTATION_PROB=0.3/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 3
  layer_sizes: [8, 16, 8]
  activations: [1, 4, 4]
  dropout_rates: [0.14, 0.243, 0.403]
  batch_norms: [1, 1, 1]
  learning_rate: 0.0089
  batch_size: 32
  patience: 28
  optimizer_type: 2
  init_type: 3
  l2_penalty: 0.0014

Validation metrics (final):
  accuracy: 62.22222222222222
  precision: 32.1505376344086
  recall: 32.333333333333336
  f1_score: 31.613275613275615
  confusion_matrix: [[24, 0, 0, 0, 0], [3, 2, 1, 2, 0], [4, 1, 1, 0, 0], [0, 2, 2, 1, 0], [0, 1, 0, 1, 0]]
  num_classes: 5
  class_distribution: {0: 24, 1: 8, 2: 6, 3: 5, 4: 2}

Test metrics (final):
  accuracy: 60.86956521739131
  precision: 31.666666666666664
  recall: 33.422222222222224
  f1_score: 31.465534465534468
  confusion_matrix: [[24, 0, 1, 0, 0], [6, 1, 0, 2, 0], [0, 2, 1, 2, 0], [0, 2, 1, 2, 0], [0, 0, 0, 2, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
