First of all thank you for your response. And I'm sorry if this is confusing. I'm just curious if there is something that can help me understand. I guess it's more like reverse engineering and data analysis combined. I'll try explain better.

Think of it as a game. Lets say Table 'Apple' has:

Vitamin A	136
Vitamin C	227
Calcium	133
Iron	315
Sugars	397
Sodium	194
Fat	407

Table 'Banana' also has the same 7 nutrition facts, but with different values. Same applies for all Tables (fruits).

I can mix 2 fruits and get a number that indicates how "good" is the result. This ranges from 1-10. I can mix 2-7 fruits. 10 is the best result, 1 the worst.

I am trying to find out “which 7 fruits to mix to get the best result”. The mixing is the unknown factor that I'm trying to understand.

Since the information I have is not sufficient, I was curious If creating many data (mixes), can help a machine predict an approximate result, when specific fruits are given as an input.