@article{Çakır_2021, title={Evaluating Predictive Models in the Orienteering Problem with Stochastic Profits: A Simulation Study}, volume={13}, url={https://isarder.org/index.php/isarder/article/view/1435}, DOI={10.20491/isarder.2021.1184}, abstractNote={<p><strong>Purpose</strong> - The aim of this paper is to test the effectiveness of statistical model selection measures in terms of decision quality for the orienteering problem with stochastic profits using simulation.</p> <p><strong>Design/methodology/approach</strong> – This paper is based on a quantitative numerical approach where various model selection measures are evaluated using computational experiments including modelbased computer-generated random data.</p> <p><strong>Findings</strong> – The findings of this paper include experimental results showing a deficiency of about 6.5 units of classical selection measures relative to a decision-based selection measure for the Tsiligirides orienteering benchmark instances.</p> <p><strong>Discussion</strong> – While classical model selection measures are suitable for accuracy reasons, misspecified models sometimes do lead to better decision outcomes. From a practical perspective, in order to carry out prescriptive analytics for orienteering problems, having access to a reasonable decision algorithm at the prediction stage of data-analysis can be beneficial for downstream realized profit.</p>}, number={2}, journal={İşletme Araştırmaları Dergisi}, author={Çakır, Fahrettin}, year={2021}, month={Haz.}, pages={1068–1081} }