Abstract
Data detailed on Machine Learning have been presented. According to news originating from Las Cruces, New Mexico, by N ewsRx correspondents, research stated, "Recent work highlights the ability of ve rbal machine learning classifiers to distinguish between accurate and inaccurate recognition memory decisions (Dobbins, 2022; Dobbins & Kantner, 2 019; Seale-Carlisle, Grabman, & Dodson, 2022). Given the surge of interest in these modeling techniques, there is an urgent need to investigate ve rbal classifiers' limitations-particularly in applied contexts such as when po lice collect eyewitness's confidence statements." Financial support for this research came from National Science Foundation (NSF).
NETL
NSTL