class_docstr: Class to run multiple iterative algorithms and compare the results.
docstr: output the accuracy per iteration for different methods
docstr_tok: ["output","the","accuracy","per","iteration","for","different","methods"]
code: def accuracy_vals(self):
      """output the accuracy per iteration for different methods"""
      acc_dict = {}
      for params, name in zip(self.params, self.names):
          acc_vec = [self.lrp.accuracy(w) for w in params]
          acc_dict[name] = [acc_vec]
      return acc_dict
  
imports: import time
  from my_logistic_regression import MyLogisticRegression
  import numpy
label_desc: Use image node_id 5 for calling the CompareAlgs obj's underlying member method code with example usage: obj.accuracy_vals() and returns: acc_dict