Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.6288404456236576
Final val loss: 0.68797535
Final penalty: 0.02038043
Model saved to: exp_1/logs/classification/heart_disease/HYPERPARAM_MUTATION_PROB/HYPERPARAM_MUTATION_PROB=0.4/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 3
  layer_sizes: [27, 6, 12]
  activations: [1, 4, 3]
  dropout_rates: [0.207, 0.488, 0.028]
  batch_norms: [1, 1, 0]
  learning_rate: 0.0275
  batch_size: 16
  patience: 12
  optimizer_type: 1
  init_type: 0
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 66.66666666666666
  precision: 34.120879120879124
  recall: 44.16666666666667
  f1_score: 35.470085470085465
  confusion_matrix: [[23, 1, 0, 0, 0], [2, 2, 0, 4, 0], [3, 1, 0, 2, 0], [0, 0, 0, 5, 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: 58.69565217391305
  precision: 29.483870967741932
  recall: 29.42222222222222
  f1_score: 26.112554112554108
  confusion_matrix: [[24, 0, 0, 1, 0], [6, 1, 0, 2, 0], [0, 1, 0, 4, 0], [1, 0, 2, 2, 0], [0, 0, 1, 1, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
