Filiz, G.Cakar, T.Soyaltin, T.E.Girisken, Y.Turkyilmaz, C.A.2024-07-182024-07-1820239798350306590https://doi.org/10.1109/ASYU58738.2023.10296776https://hdl.handle.net/11411/63892023 Innovations in Intelligent Systems and Applications Conference, ASYU 2023 -- 11 October 2023 through 13 October 2023 -- -- 194153This study presents research utilizing binary classification models to analyze consumer behaviors such as chocolate consumption and retro music ad viewing. Retro music, with its potential to evoke nostalgic feelings in consumers, is used in advertisements, which can have a significant impact on brand perception and consumer engagement. Firstly, a model focusing on chocolate consumption was developed and tested. The model yields significant outcomes. Secondly, a model based on retro music ad viewing status was developed and tested. Significant potential findings were obtained. This study emphasizes the applicability of effective classification models that can be used to understand and predict consumer behaviors, yielding significant outcomes. © 2023 IEEE.eninfo:eu-repo/semantics/closedAccessConsumer BehaviorNeuromarketingRetro MusicBinary ClassificationClassification ModelsModel YieldsModel-Based OpcNeuromarketingRetro MusicConsumer BehaviorConference Object2-s2.0-8517828697310.1109/ASYU58738.2023.10296776N/A