17. The apparatus of claim 12 wherein said Bayesian inference processor enforces a stopping rule comprising a rejection rule that is triggered after a predetermined number of documents have been presented to the human rater.
12. An apparatus for testing a machine learning apparatus of the type which generates a grouping from a plurality of documents, comprising: a document review processor having associated non-transitory machine readable medium storing said plurality of documents, the document review processor generating a user interface that iteratively presents one-at-a-time said plurality of documents to a human rater, harvests the human rater's vote as to whether a presented document belongs to the grouping and stores said vote in said non-transitory machine readable medium in association with the presented document; a Bayesian inference processor receptive of the stored vote and operable to compute a precision probability distribution for the presented document associated with said vote; said Bayesian inference processor being further operable to enforce at least one stopping rule by comparing the computed precision probability distribution to at least one predetermined threshold; said Bayesian inference processor, upon enforcing said at least one stopping rule, generating an output indicating whether the machine learning apparatus under test generated correct groupings with a probability above a predetermined threshold.