AI is great where statistical accuracy is more valuable.
This would be a good test to run competitive models over, one model is optimized to find the target tree with a 80+% confidence, the second model is optimized to find all trees which are not the target with the same confidence. Where the two models agree, run the first model again but with a confidence requirement of 99+% (which will take much longer to run) over the smaller data set.
Kinda,
AI is great where statistical accuracy is more valuable.
This would be a good test to run competitive models over, one model is optimized to find the target tree with a 80+% confidence, the second model is optimized to find all trees which are not the target with the same confidence. Where the two models agree, run the first model again but with a confidence requirement of 99+% (which will take much longer to run) over the smaller data set.