Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.5993063538227228
Final val loss: 0.67257668
Final penalty: 0.00869565
Model saved to: exp_1/logs/classification/heart_disease/HYPERPARAM_MUTATION_PROB/HYPERPARAM_MUTATION_PROB=0.1/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 2
  layer_sizes: [7, 21]
  activations: [2, 2]
  dropout_rates: [0.191, 0.049]
  batch_norms: [1, 1]
  learning_rate: 0.0223
  batch_size: 128
  patience: 18
  optimizer_type: 2
  init_type: 0
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 66.66666666666666
  precision: 37.2183908045977
  recall: 41.833333333333336
  f1_score: 37.693627127589394
  confusion_matrix: [[24, 0, 0, 0, 0], [3, 1, 3, 1, 0], [2, 2, 1, 1, 0], [0, 0, 1, 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: 65.21739130434783
  precision: 31.0
  recall: 41.422222222222224
  f1_score: 32.552584670231724
  confusion_matrix: [[24, 1, 0, 0, 0], [6, 1, 0, 2, 0], [0, 1, 0, 4, 0], [0, 0, 0, 5, 0], [0, 0, 1, 1, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
