Limits on Learning Machine Accuracy Imposed by Data Quality

Part of Advances in Neural Information Processing Systems 7 (NIPS 1994)

Authors

Corinna Cortes, L. D. Jackel, Wan-Ping Chiang

Abstract

Random errors and insufficiencies in databases limit the perfor(cid:173) mance of any classifier trained from and applied to the database. In this paper we propose a method to estimate the limiting perfor(cid:173) mance of classifiers imposed by the database. We demonstrate this technique on the task of predicting failure in telecommunication paths.