Hi R community,
I have a question related to modeling a machine learning regression model where data of independent variables is more than data of dependent variable. (i.e independent variables ~ 30,000 rows and dependent variable has only ~7,000 rows).
My questions are:
- Would that be possible to make a regression model with such kind of data?
- If yes, which method should I use to model it?
tidymodelbe used in this case?
Thanks so much in advance