Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.6198056629726673
Final val loss: 0.68455190
Final penalty: 0.00805512
Model saved to: exp_1/logs/classification/heart_disease/HYPERPARAM_MUTATION_PROB/HYPERPARAM_MUTATION_PROB=0.2/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 3
  layer_sizes: [4, 14, 13]
  activations: [3, 2, 2]
  dropout_rates: [0.177, 0.13, 0.028]
  batch_norms: [1, 1, 0]
  learning_rate: 0.0275
  batch_size: 32
  patience: 19
  optimizer_type: 2
  init_type: 1
  l2_penalty: 0.0002

Validation metrics (final):
  accuracy: 62.22222222222222
  precision: 33.114285714285714
  recall: 35.50000000000001
  f1_score: 33.89905332762476
  confusion_matrix: [[23, 1, 0, 0, 0], [2, 2, 1, 3, 0], [0, 4, 1, 1, 0], [0, 0, 3, 2, 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: 67.3913043478261
  precision: 44.00000000000001
  recall: 45.42222222222222
  f1_score: 40.64646464646464
  confusion_matrix: [[24, 0, 0, 1, 0], [6, 1, 0, 2, 0], [0, 1, 2, 2, 0], [0, 0, 1, 4, 0], [0, 0, 1, 1, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
