def queryforest(self,XTest):
        mean_val_list=[]
        for x_values in XTest:
            Values =[]
            Value = []
            for i in range(0,self.k):
                Value = self.queryone(x_values,self.forest[i])
                Values.append(Value)
            mean_val = float(len(Values)) / sum(Values)
            mean_val_list.append(mean_val)    
        return mean_val_list
dataset/ETHPy150Open TheSriram/MLT4Trading/Project 3/Randomforestlearner.py/Randomforestlearner.queryforest/swapped operands of `/`