Please use this identifier to cite or link to this item:
https://publication.npru.ac.th/jspui/handle/123456789/1341
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sitichai, Jirayu | - |
dc.contributor.author | Hengpraprohm, Kairung | - |
dc.contributor.author | Hengpraprohm, Supojn | - |
dc.date.accessioned | 2021-08-20T08:24:09Z | - |
dc.date.available | 2021-08-20T08:24:09Z | - |
dc.date.issued | 2021-07-08 | - |
dc.identifier.uri | https://publication.npru.ac.th/jspui/handle/123456789/1341 | - |
dc.description.abstract | The purpose of this research is to compare the efficacy of a model for predicting wine using two data mining techniques, namely the decision tree method and the Bayesian method. The efficiency of the proper classification model for wine prediction was compared using the wine data of the UCI website. Data were analyzed based on the 10-fold cross-validation method using R studio for modeling. The results showed that the decision tree method was most effective. The accuracy was 98.21%, followed by the Bayesian method with an accuracy of 97.54% from the results of this comparison. | en_US |
dc.publisher | The 13th NPRU National Academic Conference Nakhon Pathom Rajabhat University | en_US |
dc.subject | data mining | en_US |
dc.subject | decision tree | en_US |
dc.subject | naïve bay | en_US |
dc.subject | classification | en_US |
dc.subject | accuracy | en_US |
dc.title | A Comparison of Wine Quality Classification Performance by using Data Mining Techniques | en_US |
dc.title.alternative | การเปรียบเทียบประสิทธิภาพการจำแนกข้อมูลไวน์ด้วยเทคนิคเหมืองข้อมูล | en_US |
Appears in Collections: | Proceedings of the 13th NPRU National Academic Conference |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
npru_086.pdf | 168.75 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.