I have this dataset and I want to build some models and compare them.
However I'm quite confused of how should the product ID independent variable.
I have this dataset, all variables are numeric, but the product ID variable is int as shown below:
str(data)
'data.frame': 16 obs. of 6 variables:
$ Productid: int 1 2 3 4 5 6 7 8 9 10 ...
$ x1 : num 6.21 7.75 7.21 8.33 4.87 5.09 6.04 6.09 6.08 6.17 ...
$ x2 : num 7.08 3.29 4.38 2.79 7.71 7.5 6.58 5.13 5.5 5.58 ...
$ x3 : num 2 1.54 1.79 1.63 1.96 2.13 2.04 2 2.09 2.13 ...
$ x4 : num 2.54 2.26 2.58 2.71 1.7 2.42 2.04 2.42 2.46 2.48 ...
$ Y : num 4.97 6.98 4.58 6.45 4.33 4.26 6.16 6.26 5.83 5.74 ...
How to handle this product ID? should I do one - hot - encoding ?
And if the solution is to transform it into a factor, what ML algorithm accepts factors ?
ID is there just for identification of a product but doesn't have any impact on dependent variable therefore it should not be included in any model.