Data classification based on SVM prediction: Italy
2016-08-23
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In wine manufacturing in the, for wine of classification has is big meaning, because this involves different species of wine of store and sold price, used SVM do for classification device can effective forecast related wine of species, from UCI database in the get wine data records of is in Italy a a area same regional Shang three species different varieties of wine of chemical components analysis, data in contains 178 a sample respectively belongs to three a category (category label has to), each sample contains 13 a features component ( Chemical composition), 50% 178 samples as training samples, another 50% sample for tests, SVM classifier is trained using training samples, use the model for prediction of classification and labelling of test samples, the resulting classification accuracy of 96.6292% .
matlab
分类
识别
svm
基于
预测
数据
意大利
葡萄酒
种类
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