def advancedResults(self):

        try:
            from numpy import array
        except:
            current.log.error("ERROR: S3Survey requires numpy library installed.")

        array = array(self.valueList)
        self.std = array.std()
        self.mean = array.mean()
        self.zscore = {}
        for answer in self.answerList:
            complete_id = answer["complete_id"]
            try:
                value = self.castRawAnswer(complete_id, answer["value"])
            except:
                continue
            if value != None:
                self.zscore[complete_id] = (value - self.mean) / self.std

    # -------------------------------------------------------------------------
Compute decision function of ``X`` for each iteration.
dataset/ETHPy150Open sahana/eden/modules/s3db/survey.py/S3NumericAnalysis.advancedResults--crossover with--dataset/ETHPy150Open scikit-learn/scikit-learn/sklearn/ensemble/gradient_boosting.py/GradientBoostingClassifier.staged_decision_function