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9 results for “Customer satisfaction”
MACHINE LEARNING APPROACHES FOR DEMAND FORECASTING: THE IMPACT OF CUSTOMER SATISFACTION ON PREDICTION ACCURACY
<p><span>This study investigates the effectiveness of various machine learning models in predicting product demand based on customer satisfaction data. Four models—Linear Regression, Random Forest, Gradient Boosting, and Support Vector Machine (SVM)—were evaluated using performance metrics, including Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and R² score. The results indicate that Gradient Boosting achieved the highest accuracy, with an MAE of 2.56, MSE of 12.75, RMSE of 3.57, and R² score of 0.82, effectively capturing the complex, non-linear relationships inherent in customer satisfaction factors. Random Forest also demonstrated strong performance, while Linear Regression and SVM showed limitations in handling intricate datasets. These findings underscore the importance of utilizing advanced machine learning techniques for accurate demand forecasting, highlighting the critical role of customer satisfaction data in enhancing predictive capabilities. The insights gained from this research can guide organizations in optimizing inventory management and improving customer satisfaction in a rapidly evolving market.</span></p>
Consumer perception survey of CSR, Serviceability, perceived quality, customer satisfaction, customer loyalty
<p>We are pleased to be able to provide the data on which we have based our research studies.<br> We hope that it will contribute to many future studies and ensure the integrity of our research.</p> <p>Best regards,</p>
Consumer perception survey of CSR, Serviceability, perceived quality, social quality, customer satisfaction, customer loyalty in Automobile industiry
<p>We are very pleased to be able to contribute to your research and ensure the transparency of data in our research,too.</p> <p>I sincerely hope that this field will continue to develop in the future.</p>
My research questionnaire for the paper titled : the relationship between product attributes and customer satisfaction
<p>My research questionnaire for the paper titled : the relationship between product attributes and customer satisfaction</p>
Data set for this article tiled " the relationship between product innovation and customer satisfaction
<p>my data set for this article tiled " the relationship between product innovation and customer satisfaction</p>
Raw data_Effect of Security_Privacy and Customer Satisfaction on E Commerce Consumer Trust
Open the record for dataset details and reuse information.
Analysis of Customer Satisfaction of Using Kios-K Machine in Fast Food Services: Case of Indonesian
Open the record for dataset details and reuse information.
Teleassistance for frail elderly people: A usability and customer satisfaction study
<p>Scientific advances and new information and communication technologies have facilitated the development of services that allow older people to stay at home as long as possible. In this study, we evaluated the usability and the patient satisfaction of a novel telemedicine system. All enrolled participants underwent a teleassistance program, which included remote surveillance and tele-counselling services with different health-care professionals, including nurses. We administered a specific questionnaire to assess the quality of the service and the patient satisfaction, whereas the System Usability Scale was used to evaluate the patient's usability of the system. Our findings showed that telemedicine might be useful in improving health and quality of life of disadvantaged older people, especially if affected by severe comorbidity and living far from health services. Moreover, the patient satisfaction concerning the service was rated as good by the majority of the participants, although the usability rate was not so high.</p>
Splint Users' Satisfaction and Functional Status With Custom Finger Splints
ClinicalTrials.gov study NCT05903391. IPD Sharing: NO. Countries: 1. Publications: 0.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.