code: def mf_1mdict_0cf():
      target_boot = MetricFrame(
          metrics={"mse": skm.mean_squared_error},
          y_true=y_t,
          y_pred=y_p,
          sensitive_features=g_1,
          n_boot=N_BOOTSTRAP,
          ci_quantiles=QUANTILES,
          random_state=13489623,
      )
      return target_boot
  
imports: import numpy
  import pytest
  import sklearn.metrics
  from fairlearn.metrics import MetricFrame, count
  from .data_for_test import g_1, g_2, y_p, y_t
label_desc: Use image node_id 2 for calling a global function with example usage: mf_1mdict_0cf() and returns: target_boot