Which ML method would you say is the easiest to derive a mathematical formula from based on already existing data of predictor stats and outcome?
I have this data:
- Strength: x
- Battle Score: y
I also have a model that I put against the opponent:
- Strength: z
- Battle Score: k
Finally, all outcomes of fights are written into a database (which currently has around 2800 outcomes) and look something like this model:
- Strength: x - z
- Battle Score: y - k
- Outcome: win/lose
I would want to get proper weights for Strength and Battle Score, so I can derive a simple formula from it and thus somewhat predict whether the next fight will be won or lost.