Question

I'm new to ML so need a general advice about how to combine what I think will do the job for me - decision tree and fuzzy logic.

The idea is to use DT to interpret known sport rules, but then use fuzzy logic to generate a decision when there is insufficient info to make a decision.

I'm new to ML so maybe I'm using the wrong approach? Part of the problem is you don't know what you don't know.

If I'm on the wrong forum, any suggestions to go to a better forum would be welcome. Thanks.

No correct solution

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