Patent ID: 7426497

Claim:
A human assisted method, implemented with a computing device, of debugging training data used to train a machine learning classifier, the method comprising: obtaining a machine learning classifier training data set, wherein the machine learning classifier training data set comprises data instances mapped to predictions for those data instances, wherein each of the data instances comprises a data triplet containing a prediction ID, a weight, and an input description; evaluating potential errors in the data set according to one or more prediction-centric metrics; displaying one or more of the potential errors in the data set along with one or more of the metrics in a format that is user-configurable with reference to one or more of the metrics; and debugging the machine learning classifier training data set using an integrated debugging tool configured to implement a debugging loop, including removing one or more of the potential errors in the data set, to obtain a debugged machine learning classifier data set for use in training a machine learning classifier.