I have to predict rank(1~100) of online sales products.

There are 'keyword' and 'date' columns, so each keyword and each date, there are 1~100 rank.

And for X, there are 20 variables(review number, price, points, etc).

There are more than 100 different keywords. And X values for each keyword have different scale.

Which model would be appropriate?

I tried multiclass classification model, one model by one keyword. And for evaluation metric, I used spearman's correlation. Score was 0.5 ~ 0.9(it varies by keyword).

Any suggestion would be big help.


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