Human resource optimization using linear regression machine learning model: case study SUNAT

<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p><span>The continue searching for organization’s process improvement reduce cost and increase efficiency is a big challenge organizations nowdays. This paper about to recognize the importance of focusing in right human resource allocation. The research predict best optime re- source allocation Superintendencia Nacional de Aduanas (SUNAT) chemical materials control area using linear regression machine learning (ML) algorithm. model was validated with recollected data SUNAT’s con- trol locations, results were compared historical determine their obtained mean square error (MSE) 0.434 that lower comparing logistic support vector rec- ommend implementation this all controls locations Peru.</span></p></div></div></div>