Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.6376953973029337
Final val loss: 0.71914811
Final penalty: 0.03107531
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: 3
  layer_sizes: [27, 23, 8]
  activations: [1, 2, 3]
  dropout_rates: [0.207, 0.343, 0.14]
  batch_norms: [1, 0, 1]
  learning_rate: 0.0275
  batch_size: 16
  patience: 20
  optimizer_type: 2
  init_type: 1
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 60.0
  precision: 32.01111111111111
  recall: 31.500000000000007
  f1_score: 31.338535414165662
  confusion_matrix: [[23, 1, 0, 0, 0], [2, 2, 4, 0, 0], [0, 5, 1, 0, 0], [0, 1, 3, 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: 54.347826086956516
  precision: 17.706093189964157
  recall: 23.2
  f1_score: 20.0
  confusion_matrix: [[24, 0, 1, 0, 0], [6, 0, 0, 3, 0], [0, 1, 0, 4, 0], [1, 0, 3, 1, 0], [0, 0, 1, 1, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
