• Computer Science
  • Published in UAI 2017

How Good Are My Predictions? Efficiently Approximating Precision-Recall Curves for Massive Datasets

@inproceedings{Sabharwal2017HowGA,
  title={How Good Are My Predictions? Efficiently Approximating Precision-Recall Curves for Massive Datasets},
  author={Ashish Sabharwal and Hanie Sedghi},
  booktitle={UAI},
  year={2017}
}
Large scale machine learning produces massive datasets whose items are often associated with a confidence level and can thus be ranked. However, computing the precision of these resources requires human annotation, which is often prohibitively expensive and is therefore skipped. We consider the problem of cost-effectively approximating precisionrecall (PR) or ROC curves for such systems. Our novel approach, called PAULA, provides theoretically guaranteed lower and upper bounds on the underlying… CONTINUE READING

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