Here, I want to predict dealers(about 600) whether pick up the goods(about 30) next month. As you see, there are about 18,000 possibilities and it's difficult to predict.
By the way, now I have nearly three years'data(2017,2018 and 2019), and now I just use the common object in the last several months as the prediction.
For example, if dealer
A purchases the goods
item 1 in September, October and November, then I predict he will purchases
item 1 in December. However, this is not exactly accurate, and the
precision is about
0.6 while the
recall is about
So any other way to predict it?