Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.6427324624609271
Final val loss: 0.63281711
Final penalty: 0.00859860
Model saved to: exp_1/logs/classification/heart_disease/CONN_LAYER_ADD_PROB/CONN_LAYER_ADD_PROB=0/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 4
  layer_sizes: [8, 8, 8, 7]
  activations: [3, 3, 3, 4]
  dropout_rates: [0.189, 0.189, 0.189, 0.336]
  batch_norms: [0, 0, 0, 1]
  learning_rate: 0.0229
  batch_size: 32
  patience: 19
  optimizer_type: 2
  init_type: 0
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 62.22222222222222
  precision: 27.812187812187815
  recall: 31.666666666666664
  f1_score: 29.239215686274513
  confusion_matrix: [[24, 0, 0, 0, 0], [2, 2, 3, 1, 0], [0, 4, 2, 0, 0], [0, 1, 4, 0, 0], [0, 0, 2, 0, 0]]
  num_classes: 5
  class_distribution: {0: 24, 1: 8, 2: 6, 3: 5, 4: 2}

Test metrics (final):
  accuracy: 60.86956521739131
  precision: 27.282051282051285
  recall: 33.422222222222224
  f1_score: 27.454545454545453
  confusion_matrix: [[24, 0, 1, 0, 0], [6, 1, 2, 0, 0], [0, 2, 3, 0, 0], [0, 0, 5, 0, 0], [0, 0, 2, 0, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
