code: def get_data():
      """Synthetic binary classification dataset."""
      data, targets = make_classification(
          n_samples=1000,
          n_features=45,
          n_informative=12,
          n_redundant=7,
          random_state=134985745,
      )
      return data, targets
  
file_path: BayesianOptimization/examples/sklearn_example.py
imports: from sklearn.datasets import make_classification
  from sklearn.model_selection import cross_val_score
  from sklearn.ensemble import RandomForestClassifier
  from sklearn.svm import SVC
  from bayes_opt import BayesianOptimization
  from bayes_opt.util import Colours
label_desc: Use image node_id 1 for calling a global function with example usage: get_data() and returns: data,  targets