专利名称：Methods, systems, and media for identifying
errors in predictive models using annotators
发明人：Joshua M. Attenberg,Panagiotis G.
Ipeirotis,Foster J. Provost
申请号：US13544779申请日：20120709公开号：US09311599B1公开日：20160412
专利附图：
摘要：Methods, systems, and media for identifying errors in predictive models usingannotators are provided. In some embodiments, a method for evaluating predictive
models in classification systems is provided, the method comprising: causing an inputregion to be presented to a user, where the input region receives an instance from theuser that corresponds to a predictive model; retrieving a classification conducted by thepredictive model for the received instance and a confidence value associated with theclassification; determining whether the received instance has been incorrectly classifiedby the predictive model; determining a reward associated with the incorrect classificationmade by the predictive model in response to determining that the received instance hasbeen incorrectly classified by the predictive model, where the reward is based on theconfidence value associated with the classification of the received instance; and providingthe reward to the user.
申请人：Joshua M. Attenberg,Panagiotis G. Ipeirotis,Foster J. Provost
地址：Roxbury CT US,New York NY US,New York NY US
国籍：US,US,US
代理机构：Byrne Poh LLP
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