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City Scientific and Technological Progress Level Classification Based on Support Vector Machine

机译:基于支持向量机的城市科技进步水平分类。

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City scientific and technological progress level classification and promotion play a central role in spurring city income growth and reducing poverty. Based on the Chinese city data availability, this paper built evaluation index system on the level of city scientific and technological progress. According to the city scientific and technological progress data which is large scale and imbalance, this paper presented a support vector machine model to classify city scientific and technological progress level. The method was compared with artificial neural network, decision tree, logistic regression and naive Bayesian classifier regarding city scientific and technological progress level classification for fourteen Chinese cities. It is found that the method has the best accuracy rate, hit rate, covering rate and lift coefficient, and provides an effective measurement for city scientific and technological progress level classification.
机译:城市科学技术进步水平的分类和促进在促进城市收入增长和减少贫困​​方面发挥着核心作用。基于中国城市数据的可获得性,建立了基于城市科技进步水平的评价指标体系。根据城市科技进步数据规模大,不平衡的特点,提出了一种支持向量机模型对城市科技进步水平进行分类。将该方法与人工神经网络,决策树,逻辑回归和朴素贝叶斯分类器在中国14个城市的科学技术进步水平分类中进行了比较。结果表明,该方法具有最高的准确率,命中率,覆盖率和升力系数,为城市科技进步水平的分类提供了有效的手段。

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