Supervised machine learning problems are further divided into classification (predicting non-numeric answers, such as the probability of a missed mortgage payment) and regression (predicting ...

This seems to work well: machine classification agrees with human classification about 85% of the time. (Two humans agree with each other about 85% of the time as well.) ...