code: def iris_data(self):
      iris_dataset = load_iris()
      features, labels = iris_dataset.data, iris_dataset.target
      K = len(iris_dataset.target_names)
      N = features.shape[0]
      pred_probs = self.generate_pred_probs(N, K, labels, noisy=True)
      data = {
          "features": features,
          "pred_probs": pred_probs,
          "labels": labels,
      }
      return data
  
file_path: cleanlab/tests/datalab/issue_manager/test_underperforming_group.py
imports: import numpy
  import pytest
  import pandas
  import scipy.sparse
  from cleanlab.datalab.internal.issue_manager.underperforming_group import UnderperformingGroupIssueManager
  from sklearn.datasets import make_blobs, load_iris
label_desc: Use image node_id 3 for calling the TestUnderperformingGroupIssueManager obj's underlying member method code with example usage: obj.iris_data() and returns: data