Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.6507781723689761
Final val loss: 0.66340666
Final penalty: 0.00494953
Model saved to: exp_1/logs/classification/heart_disease/PATIENCE/PATIENCE=10/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 3
  layer_sizes: [5, 5, 9]
  activations: [1, 1, 1]
  dropout_rates: [0.007, 0.007, 0.14]
  batch_norms: [1, 1, 1]
  learning_rate: 0.0275
  batch_size: 16
  patience: 10
  optimizer_type: 2
  init_type: 1
  l2_penalty: 0.0002

Validation metrics (final):
  accuracy: 71.11111111111111
  precision: 36.80341880341881
  recall: 47.66666666666667
  f1_score: 40.831372549019605
  confusion_matrix: [[23, 1, 0, 0, 0], [2, 5, 0, 1, 0], [1, 2, 0, 3, 0], [0, 1, 0, 4, 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: 23.26164874551971
  recall: 29.42222222222222
  f1_score: 25.523809523809522
  confusion_matrix: [[24, 0, 0, 1, 0], [6, 1, 0, 2, 0], [0, 2, 0, 3, 0], [1, 2, 0, 2, 0], [0, 1, 0, 1, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
