How to convert numerical values in result file back to original nominal values of input
Hello everyone! I am just a beginner whom have just started to study RM for a few months. I am having a group problem to detect the outliers of Bank Marketing Dataset. This is my process (image below).
The dataset has more than 40.000 examples and Outlier Detection Operator seems too slow for both Nominal and Numerical values so I decided to change all of Nominal values into Numerical.
After running this process, I obtained result file and I would like to convert all of the Numerical values that I changed before back to Original Nominal values like the input file. Manual converting is absolutely the last choice but I wonder if I can do it as fast as possible by using the operators of RM or something else.
Please help me to find out the best way for this case asap
Thank you very much.
The dataset has more than 40.000 examples and Outlier Detection Operator seems too slow for both Nominal and Numerical values so I decided to change all of Nominal values into Numerical.
After running this process, I obtained result file and I would like to convert all of the Numerical values that I changed before back to Original Nominal values like the input file. Manual converting is absolutely the last choice but I wonder if I can do it as fast as possible by using the operators of RM or something else.
Please help me to find out the best way for this case asap
Thank you very much.