Knowing this, you could choose to do the following: Remove the "weak" performers from your dataset. In this case, you could start with removing "Year", then "Country, etc…, and see how it affects your accuracy and algorithm speed. Consider adding more "Attributes" that are similar to the "strong performers". For example, what about the co-star? Or a secondary category?
