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How will you know when you should fall back to manual? There's really no measurement of accuracy that I can think of. If you've reached the point in the algorit
by d2viant 16y ago
How will you know when you should fall back to manual? There's really no measurement of accuracy that I can think of. If you've reached the point in the algorithm where you know you've incorrectly identified the food it seems like you've already solved the problem.
- lliiffee 16y agoThat is a pretty common problem in machine learning. There are tons of solutions, but they are usually classifier specific. For example, if using a decision tree, one can take test data and determine for each leaf node in the tree what fraction of instances are classified correctly. For leaf nodes with accuracy below X, change the output of that node to "give up".