Efficient Progressive Sampling

@inproceedings{Provost1999EfficientPS,
  title={Efficient Progressive Sampling},
  author={Foster J. Provost and David D. Jensen and Tim Oates},
  booktitle={KDD},
  year={1999}
}
Having access to massive amounts of data does not necessarily imply that induction algorithms must use them all. Samples often provide the same accuracy with far less computational cost. However, the correct sample size rarely is obvious. We analyze methods for progressive samplingusing progressively larger samples as long as model accuracy improves. We explore several notions of efficient progressive sampling. We analyze efficiency relative to induction with all instances; we show that a… CONTINUE READING

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