class_docstr: Results for Cohen's kappa
  
  Attributes
  ----------
  kappa : cohen's kappa
  var_kappa : variance of kappa
  std_kappa : standard deviation of kappa
  alpha : one-sided probability for confidence interval
  kappa_low : lower (1-alpha) confidence limit
  kappa_upp : upper (1-alpha) confidence limit
  var_kappa0 : variance of kappa under H0: kappa=0
  std_kappa0 : standard deviation of kappa under H0: kappa=0
  z_value : test statistic for H0: kappa=0, is standard normal distributed
  pvalue_one_sided : one sided p-value for H0: kappa=0 and H1: kappa>0
  pvalue_two_sided : two sided p-value for H0: kappa=0 and H1: kappa!=0
  distribution_kappa : asymptotic normal distribution of kappa
  distribution_zero_null : asymptotic normal distribution of kappa under
      H0: kappa=0
  
  The confidence interval for kappa and the statistics for the test of
  H0: kappa=0 are based on the asymptotic normal distribution of kappa.
code: def __str__(self):
      return self.template % self
  
file_path: statsmodels/statsmodels/stats/inter_rater.py
imports: import numpy
  from scipy import stats
label_desc: Use image node_id 2 for calling the KappaResults obj's underlying member method code with example usage: obj.__str__() and returns: unknown