code: def run(self):
      iris = datasets.load_iris()
      X, y = iris.data, iris.target
  
      X_train, X_test, y_train, y_test = train_test_split(
          X, y, test_size=0.2
      )
  
      bst = XGBClassifier(verbosity=3)
      bst.fit(X_train, y_train)
      preds = bst.predict(X_test)
      print(f"preds: {preds}")
  
imports: from lightning.app import LightningWork, LightningApp
  from sklearn import datasets
  from sklearn.model_selection import train_test_split
  from xgboost import XGBClassifier
label_desc: Use image node_id 1 for calling the XGBoostComponent obj's underlying member method code with example usage: obj.run() without return types