class_docstr: Test the accuracy of an existing training dataset on a set of hand-labelled subjects.
  Note: This may or may not be working. Couldn't presently not confirm because fix fails on this (even outside of nipype) without leaving an error msg.
class_docstr_tok: ["Test","the","accuracy","of","an","existing","training","dataset","on","a","set","of","hand-labelled","subjects",".","Note",":","This","may","or","may","not","be","working",".","Could","n't","presently","not","confirm","because","fix","fails","on","this","(","even","outside","of","nipype",")","without","leaving","an","error","msg","."]
code: def _list_outputs(self):
      outputs = self.output_spec().get()
      if isdefined(self.inputs.output_directory):
          outputs["output_directory"] = Directory(
              exists=False, value=self.inputs.output_directory
          )
      else:
          outputs["output_directory"] = Directory(
              exists=False, value="accuracy_test"
          )
      return outputs
  
imports: from ..base import TraitedSpec, CommandLineInputSpec, CommandLine, InputMultiPath, OutputMultiPath, BaseInterface, BaseInterfaceInputSpec, traits, Directory, File, isdefined
  import os
label_desc: Use image node_id 1 for calling the AccuracyTester obj's underlying member method code with example usage: obj._list_outputs() and returns: outputs