class_docstr: Find new labels in test.
  
  Parameters
  ----------
  n_samples : int , default: 10_000_000
      number of samples to use for this check.
  random_state : int, default: 42
      random seed for all check internals.
class_docstr_tok: ["Find","new","labels","in","test",".","Parameters","--","--","--","--","--","n_samples",":","int",",","default",":","10_000_000","number","of","samples","to","use","for","this","check",".","random_state",":","int",",","default",":","42","random","seed","for","all","check","internals","."]
docstr: Return True if the check reduce_output is better when it is greater.
docstr_tok: ["Return","True","if","the","check","reduce_output","is","better","when","it","is","greater","."]
code: def greater_is_better(self):
      """Return True if the check reduce_output is better when it is greater."""
      return False
  
file_path: deepchecks/deepchecks/tabular/checks/train_test_validation/new_label_train_test.py
imports: from typing import Dict
  import pandas
  from deepchecks.core import CheckResult, ConditionCategory, ConditionResult
  from deepchecks.core.reduce_classes import ReduceLabelMixin
  from deepchecks.tabular import Context, TrainTestCheck
  from deepchecks.utils.strings import format_percent
label_desc: Use image node_id 4 for calling the NewLabelTrainTest obj's underlying member method code with example usage: obj.greater_is_better() and returns: False