Unsupervised machine learning (gradient boosting regression)

Hello everyone,

I’m currently doing a workflow to predict a sale coefficient of the next month. But there is a problem that i’m facing.

So to make it simple my data set has these features :

• Region

• business sector

• ID client

• Invoice

• Coefficient first month

• Coefficient second month

• Coefficient third month

A coefficient is a numeric value so i use unsupervised algorithm to predict coefficient of the next month.

I train my data set to predict the third month based on the other coefficient but there is a problem.

Now that i know my model is working well, how can i predict the fourth month ? Because the learner node ask for a target column to predict but i would like the next month so i don’t have the target column yet.

Do you see my point ?

Thank you for your help.