Using employee time series data to predict employee turnover (Binary Prediction using Time Series Data)
I have time series data of employee like hours worked
, shift type
, Overtime
, no show hours
, missed punch
etc. What I currently do is aggregate the data of multiple time shifts to single row per employee where flags like no show
, overtime
are taken as sum and numerical values like worked hours, on call hours are taken as average. Then I send it to a machine learning
model where it can predict per employee.
Why I haven't been able to do time series analysis like ARIMA
or RNN
is that it doesn't have a regression
output like stock market price or other. I only have data of whether the employee was terminated after that shift or not. So the Y value
remains 0
for long time in time sheet data and suddenly changes to 1
and the data ends. So this data can't be used in time series analysis.
We could set a Y value
like satisfaction level after each shifts but I have no idea to implement it with the data set I have.
I could find it any where in any articles too. Can you guys help?
python machine-learning time-series data-science
add a comment |
I have time series data of employee like hours worked
, shift type
, Overtime
, no show hours
, missed punch
etc. What I currently do is aggregate the data of multiple time shifts to single row per employee where flags like no show
, overtime
are taken as sum and numerical values like worked hours, on call hours are taken as average. Then I send it to a machine learning
model where it can predict per employee.
Why I haven't been able to do time series analysis like ARIMA
or RNN
is that it doesn't have a regression
output like stock market price or other. I only have data of whether the employee was terminated after that shift or not. So the Y value
remains 0
for long time in time sheet data and suddenly changes to 1
and the data ends. So this data can't be used in time series analysis.
We could set a Y value
like satisfaction level after each shifts but I have no idea to implement it with the data set I have.
I could find it any where in any articles too. Can you guys help?
python machine-learning time-series data-science
add a comment |
I have time series data of employee like hours worked
, shift type
, Overtime
, no show hours
, missed punch
etc. What I currently do is aggregate the data of multiple time shifts to single row per employee where flags like no show
, overtime
are taken as sum and numerical values like worked hours, on call hours are taken as average. Then I send it to a machine learning
model where it can predict per employee.
Why I haven't been able to do time series analysis like ARIMA
or RNN
is that it doesn't have a regression
output like stock market price or other. I only have data of whether the employee was terminated after that shift or not. So the Y value
remains 0
for long time in time sheet data and suddenly changes to 1
and the data ends. So this data can't be used in time series analysis.
We could set a Y value
like satisfaction level after each shifts but I have no idea to implement it with the data set I have.
I could find it any where in any articles too. Can you guys help?
python machine-learning time-series data-science
I have time series data of employee like hours worked
, shift type
, Overtime
, no show hours
, missed punch
etc. What I currently do is aggregate the data of multiple time shifts to single row per employee where flags like no show
, overtime
are taken as sum and numerical values like worked hours, on call hours are taken as average. Then I send it to a machine learning
model where it can predict per employee.
Why I haven't been able to do time series analysis like ARIMA
or RNN
is that it doesn't have a regression
output like stock market price or other. I only have data of whether the employee was terminated after that shift or not. So the Y value
remains 0
for long time in time sheet data and suddenly changes to 1
and the data ends. So this data can't be used in time series analysis.
We could set a Y value
like satisfaction level after each shifts but I have no idea to implement it with the data set I have.
I could find it any where in any articles too. Can you guys help?
python machine-learning time-series data-science
python machine-learning time-series data-science
edited Nov 15 '18 at 6:33
has
795517
795517
asked Nov 14 '18 at 11:50
Bipin KCBipin KC
12
12
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