Different time duration (block) for a classification model
$begingroup$
Suppose there are 1-5 set of activities that one can complete and #activities that one complete is a predictor variable for event(1 or 0).This set of activities can be completed during any time of year(at one go or staggered). We have also seen that the completion of activities last year also plays a major role.
Now suppose I am training the model on 2018 data and decide to include
total # activities completed in 2017 + total # activities completed in 2018
as one of my X variables
and I run the model in 2019 March for predicting event
what would be my X variable now?
Would it be
total # activities completed in 2018 + total # activities completed in 2019 until March
and If I run the model in 2019 June again
Would it be
total # activities completed in 2018 + total # activities completed in 2019 until June*
How should this problem be solved?
classification random-forest logistic-regression
New contributor
$endgroup$
add a comment |
$begingroup$
Suppose there are 1-5 set of activities that one can complete and #activities that one complete is a predictor variable for event(1 or 0).This set of activities can be completed during any time of year(at one go or staggered). We have also seen that the completion of activities last year also plays a major role.
Now suppose I am training the model on 2018 data and decide to include
total # activities completed in 2017 + total # activities completed in 2018
as one of my X variables
and I run the model in 2019 March for predicting event
what would be my X variable now?
Would it be
total # activities completed in 2018 + total # activities completed in 2019 until March
and If I run the model in 2019 June again
Would it be
total # activities completed in 2018 + total # activities completed in 2019 until June*
How should this problem be solved?
classification random-forest logistic-regression
New contributor
$endgroup$
add a comment |
$begingroup$
Suppose there are 1-5 set of activities that one can complete and #activities that one complete is a predictor variable for event(1 or 0).This set of activities can be completed during any time of year(at one go or staggered). We have also seen that the completion of activities last year also plays a major role.
Now suppose I am training the model on 2018 data and decide to include
total # activities completed in 2017 + total # activities completed in 2018
as one of my X variables
and I run the model in 2019 March for predicting event
what would be my X variable now?
Would it be
total # activities completed in 2018 + total # activities completed in 2019 until March
and If I run the model in 2019 June again
Would it be
total # activities completed in 2018 + total # activities completed in 2019 until June*
How should this problem be solved?
classification random-forest logistic-regression
New contributor
$endgroup$
Suppose there are 1-5 set of activities that one can complete and #activities that one complete is a predictor variable for event(1 or 0).This set of activities can be completed during any time of year(at one go or staggered). We have also seen that the completion of activities last year also plays a major role.
Now suppose I am training the model on 2018 data and decide to include
total # activities completed in 2017 + total # activities completed in 2018
as one of my X variables
and I run the model in 2019 March for predicting event
what would be my X variable now?
Would it be
total # activities completed in 2018 + total # activities completed in 2019 until March
and If I run the model in 2019 June again
Would it be
total # activities completed in 2018 + total # activities completed in 2019 until June*
How should this problem be solved?
classification random-forest logistic-regression
classification random-forest logistic-regression
New contributor
New contributor
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asked 2 days ago
tej kirantej kiran
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