Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.6327265074968859
Final val loss: 0.70180232
Final penalty: 0.00733696
Model saved to: exp_1/logs/classification/heart_disease/LAYER_MUTATION_PROB/LAYER_MUTATION_PROB=0.4/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 2
  layer_sizes: [9, 9]
  activations: [3, 3]
  dropout_rates: [0.14, 0.14]
  batch_norms: [1, 1]
  learning_rate: 0.0275
  batch_size: 16
  patience: 10
  optimizer_type: 2
  init_type: 1
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 60.0
  precision: 32.095238095238095
  recall: 32.333333333333336
  f1_score: 31.025641025641026
  confusion_matrix: [[23, 1, 0, 0, 0], [3, 1, 4, 0, 0], [2, 2, 2, 0, 0], [0, 0, 4, 1, 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: 26.666666666666668
  recall: 25.422222222222224
  f1_score: 24.787878787878785
  confusion_matrix: [[24, 0, 1, 0, 0], [6, 1, 2, 0, 0], [0, 2, 0, 3, 0], [0, 0, 4, 1, 0], [0, 0, 1, 1, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
