1887

Abstract

Summary

In order to more accurately predict lithology and the nature of saturation, as well as minimize the time to perform interpretation, it was decided to test machine learning algorithms. For solving such problems, the gradient boosting algorithm (GBoosting) showed the best efficiency.

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/content/papers/10.3997/2214-4609.202154056
2021-05-24
2024-03-28
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References

  1. 1.M.V.Joshi; V.Kumar; R.C.Agarwal. Evaluating boosting algorithms to classify rare classes: comparison and improvements. Proceedings 2001 IEEE International Conference on Data Mining 29 Nov.-2 Dec. 2001. 2002. DOI: 10.1109/ICDM.2001.989527.
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