class_docstr: Class to run multiple iterative algorithms and compare the results.
docstr: output the accuracy of the optimal model without privacy
docstr_tok: ["output","the","accuracy","of","the","optimal","model","without","privacy"]
code: def accuracy_np(self):
      """output the accuracy of the optimal model without privacy"""
      return self.lrp.accuracy(self.w_opt)
  
imports: import time
  from my_logistic_regression import MyLogisticRegression
  import numpy
label_desc: Use image node_id 6 for calling the CompareAlgs obj's underlying member method code with example usage: obj.accuracy_np() and returns: self