Missing dates
Hi,
I have a been given a dataset to predict employee termination rate, I have one attribute that is the date of termination and another that is Binominal and states if the employee has been terminated in the past or not if he/she has not then in the date of termination it is identified as a missing value. further, in the date of termination attribute the date is in two forms, for example, 11/02/15 and 12/05/2012 and therefore RM identifies it as polynomial and hence I cannot convert it into a date and I don't know how to treat these missing values.
I wanted to insert something like N/A in the missing values but that is I reckon not advisable.
In such a case is it advisable to use one of these as my label?
what is my best course of action, I hope I can get a quick response, thank you community.
cheers
Ryan
I have a been given a dataset to predict employee termination rate, I have one attribute that is the date of termination and another that is Binominal and states if the employee has been terminated in the past or not if he/she has not then in the date of termination it is identified as a missing value. further, in the date of termination attribute the date is in two forms, for example, 11/02/15 and 12/05/2012 and therefore RM identifies it as polynomial and hence I cannot convert it into a date and I don't know how to treat these missing values.
I wanted to insert something like N/A in the missing values but that is I reckon not advisable.
In such a case is it advisable to use one of these as my label?
what is my best course of action, I hope I can get a quick response, thank you community.
cheers
Ryan
0
Best Answer
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MartinLiebig Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University ProfessorPosts:3,389RM Data Scientist
Answers
Dortmund, Germany
cheers
Ryan
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Dortmund, Germany
how do I deal with malformed dates?