code: def data_min_correlation_0(self):
      params = {"scorer": score_cindex, "min_correlation": 1.2}
      match = self._msg_min_correlation.format(value=1.2)
      return params, ValueError, match
  
imports: import numpy
  from numpy.testing import assert_array_equal
  import pytest
  from sklearn.dummy import DummyRegressor
  from sklearn.metrics import mean_squared_error
  from sklearn.model_selection import KFold, ParameterGrid
  from sksurv.ensemble import ComponentwiseGradientBoostingSurvivalAnalysis
  from sksurv.kernels import ClinicalKernelTransform
  from sksurv.linear_model import IPCRidge
  from sksurv.meta import EnsembleSelection, EnsembleSelectionRegressor
  from sksurv.metrics import concordance_index_censored
  from sksurv.svm import FastKernelSurvivalSVM, FastSurvivalSVM
  from sksurv.testing import FixtureParameterFactory, assert_cindex_almost_equal
  from sksurv.tree import SurvivalTree
  from sksurv.util import check_array_survival
label_desc: Use image node_id 2 for calling the EnsembleSelectionFailureCases obj's underlying member method code with example usage: obj.data_min_correlation_0() and returns: params,  ValueError,  match