ML systems will struggle when the question itself is ill-posed.
A human can say “I’ve been instructed to group these data into those categories, but this particular example doesn’t fit into any them.” and then devise a way to handle special cases.
By construction, an ML system can’t. At the end of the day, a classifier needs to assign one of the predefined labels to each example. At best, it might give you a confidence value, or a probability distribution over labels. However, interpreting those is usually outside of the system itself.
A human can say “I’ve been instructed to group these data into those categories, but this particular example doesn’t fit into any them.” and then devise a way to handle special cases.
By construction, an ML system can’t. At the end of the day, a classifier needs to assign one of the predefined labels to each example. At best, it might give you a confidence value, or a probability distribution over labels. However, interpreting those is usually outside of the system itself.