Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.6042870611129804
Final val loss: 0.68530334
Final penalty: 0.02375776
Model saved to: exp_1/logs/classification/heart_disease/HYPERPARAM_MUTATION_PROB/HYPERPARAM_MUTATION_PROB=0.5/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 4
  layer_sizes: [8, 24, 24, 8]
  activations: [1, 3, 1, 3]
  dropout_rates: [0.14, 0.387, 0.283, 0.282]
  batch_norms: [1, 1, 0, 1]
  learning_rate: 0.0229
  batch_size: 32
  patience: 16
  optimizer_type: 2
  init_type: 0
  l2_penalty: 0.0001

Validation metrics (final):
  accuracy: 60.0
  precision: 31.96296296296296
  recall: 36.166666666666664
  f1_score: 32.796027501909855
  confusion_matrix: [[22, 2, 0, 0, 0], [2, 1, 2, 3, 0], [3, 1, 1, 1, 0], [0, 0, 2, 3, 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: 56.52173913043478
  precision: 24.333333333333336
  recall: 28.62222222222222
  f1_score: 25.738261738261738
  confusion_matrix: [[23, 1, 1, 0, 0], [6, 1, 0, 2, 0], [0, 3, 0, 2, 0], [1, 0, 2, 2, 0], [0, 0, 0, 2, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
