code: def test_bi_acc(self):
      bi_acc_metric = BiClassAccuracyTable()
      predict, label = generate_predict_and_label(1000)
      result = bi_acc_metric(predict, label)
      print(result.to_dict())
  
file_path: FATE/python/fate/ml/evaluation/test/test_classi_table_metric.py
imports: import unittest
  import numpy
  from sklearn.metrics import roc_auc_score, accuracy_score, recall_score, precision_score, f1_score
  from sklearn.preprocessing import LabelBinarizer
  from fate.ml.evaluation.classification import *
label_desc: Use image node_id 5 for calling the TestMetric obj's underlying member method code with example usage: obj.test_bi_acc() without return types