| 基于随机森林算法的葡萄酒品质预测方法 |
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| 引用本文： | 林劼,林舒晔.基于随机森林算法的葡萄酒品质预测方法[J].莆田学院学报,2012,19(5):88-92. |
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| 作者姓名： | 林劼 林舒晔 |
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| 作者单位： | 1. 福建师范大学软件学院,福建福州,350108
2. 福建农林大学作物科学学院,福建福州,350002 |
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| 摘 要： | 采用机器学习中的随机森林算法对葡萄酒的化学特性与葡萄酒的品质之间的关系进行学习,并建立了有效的模型对葡萄酒品质进行预测。该方法具有预测准确率高、预测精度稳定以及葡萄酒分级详细等特点,在葡萄酒行业品质预测的应用中,能够有效地减少因品酒师个人因素带来的评级波动。还将实验结果与已经存在的一些工作进行量化比较,特别是在成本(风险)比较中,所提供的方法明显优于已有的方法。
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| 关 键 词： | 机器学习 随机森林算法 成本矩阵 葡萄酒 品质 |
Predict the Wine Quality Based on Random Forest Algorithm |
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| LIN Jie,LIN Shu-ye.Predict the Wine Quality Based on Random Forest Algorithm[J].journal of putian university,2012,19(5):88-92. |
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| Authors: | LIN Jie LIN Shu-ye |
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| Institution: | 1.Faculty of Software,Fujian Normal University,Fuzhou Fujian 350108,China; 2.College of Crop Science,Fujian Agriculture and Forestry University,Fuzhou Fujian 350002,China) |
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| Abstract: | The random forest algorithm in machine learning was exploited to study the relationship between the chemical characteristics and the quality of the wine.Effective model,with the features of high accuracy rate and clear classification,was established to predict the wine quality.This method can effectively prevent the fluctuation of grading caused by wine tasters' personal factors.The experiment results were compared with the existing work.This method has more advantages than the existing ones especially in controlling the cost(risk). |
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| Keywords: | machine learning random forest algorithm cost matrix wine quality |
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