jackknifing

https://doi.org/10.1351/goldbook.11458

A procedure to evaluate the accuracy of the statistics of a model, such as the overall R² or the contribution of particular properties, by systematically recomputing the statistics generated from models developed by leaving out one or more observations at a time from the sample set.

See also: bootstrap resampling

Source:
PAC, 2016, 88, 239. 'Glossary of terms used in computational drug design, part II (IUPAC Recommendations 2015)' on page 248 (https://doi.org/10.1515/pac-2012-1204)