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首页> 外文会议>International Conference on Computer Communication and Informatics >Red Wine Quality Prediction Using Machine Learning Techniques
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Red Wine Quality Prediction Using Machine Learning Techniques

机译：基于机器学习技术的红酒质量预测

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摘要

Nowadays people try to lead a luxurious life. They tend to use the things either for show off or for their daily basis. These days the consumption of red wine is very common to all. So it became important to analyze the quality of red wine before its consumption to preserve human health. Hence this research is a step towards the quality prediction of the red wine using its various attributes. Dataset is taken from the sources and the techniques such as Random Forest, Support Vector Machine and Naïve Bayes are applied. Various measures are calculated and the results are compared among training set and testing set and accordingly the best out of the three techniques depending on the training set results is predicted. Better results can be observed if the best features out from other techniques are extracted and merged with one another to improve the accuracy and efficiency.
机译：如今，人们试图过上奢侈的生活。他们倾向于将这些东西用于炫耀或日常使用。这些天，红酒的消费已经非常普遍了。因此，在饮用红葡萄酒之前分析其质量对于保护人体健康就变得很重要。因此，这项研究是朝着利用其各种属性进行红酒质量预测迈出的一步。数据集来自数据源，并应用了诸如随机森林，支持向量机和朴素贝叶斯之类的技术。计算各种度量，并比较训练集和测试集的结果，并根据训练集的结果预测三种技术中的最佳方法。如果从其他技术中提取出最好的特征并将其相互融合以提高准确性和效率，则可以观察到更好的结果。

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