cross-validation

[ kraws-val-i-dey-shuhn, kros- ]

noun

, Statistics.

1. a process by which a method that works for one sample of a population is checked for validity by applying the method to another sample from the same population.

Example Sentences

Following this, the researchers implemented a composition-based cross-validation method.

From Science Daily

“Some of the strengths of machine learning are that you can do things like cross-validation,” LaConte says.

From The Verge

“It is from a top research team. It is a decently large sample size. And most important, they are correlating their results to PET and CSF. That cross-validation to other techniques is great to see—we haven’t seen this before for a blood test in Alzheimer’s.”

From Scientific American

Efron, B. & Gong, G. A leisurely look at the bootstrap, the jackknife, and cross-validation.

From Nature

Five repeats of tenfold cross-validation were used to evaluate the classification accuracy.

From Nature