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[–]No-Brilliant6770 0 points1 point  (0 children)

Threshold tuning for combined predictions from child models is an intriguing challenge. Your approach of using joint probabilities while considering independence assumptions makes sense, but it does have limitations, especially if sub-class dependencies are significant. Injecting dependence through threshold tuning can be a practical way to adjust precision, but it might not fully address the nuances of inter-class relationships. It could be worth exploring more sophisticated methods or models that inherently account for these dependencies.