code: def rmse_model(plot_result: bool, strategy: str) -> None:
      """Draw a circle with 2-dim coordinate as target variables."""
      X, y = gen_circle()
      # Train a regressor on it
      reg = xgb.XGBRegressor(
          tree_method="hist",
          n_estimators=128,
          n_jobs=16,
          max_depth=8,
          multi_strategy=strategy,
          subsample=0.6,
      )
      reg.fit(X, y, eval_set=[(X, y)])
  
      y_predt = reg.predict(X)
      if plot_result:
          plot_predt(y, y_predt, "multi")
  
file_path: xgboost/demo/guide-python/multioutput_regression.py
imports: import argparse
  from typing import Dict, List, Tuple
  import numpy
  from matplotlib import pyplot
  import xgboost
label_desc: Use image node_id 3 for calling a global function with example usage: rmse_model(plot_result, strategy) without return types