期刊论文

Zhang, Cong

英文

Computer Systems Science and Engineering

0267-6192

2022

40

1

207-221

10.32604/CSSE.2022.018301

Funding Statement: This work was supported in part by the Major Technical Innovation Projects of Hubei Province under Grant 2018ABA099, in part by the National Science Fund for Youth of Hubei Province of China under Grant 2018CFB408, in part by the Natural Science Foundation of Hubei Province of China under Grant 2015CFA061, in part by the National Nature Science Foundation of China under Grant 61272278, and in part by Research on Key Technologies of Intelligent Decision-making for Food Big Data under Grant 2018A01038.

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As soil heavy metal pollution is increasing year by year, the risk assessment of soil heavy metal pollution is gradually gaining attention. Soil heavy metal datasets are usually imbalanced datasets in which most of the samples are safe samples that are not contaminated with heavy metals. Random Forest (RF) has strong generalization ability and is not easy to overfit. In this paper, we improve the Bagging algorithm and simple voting method of RF. AW-RF algorithm based on adaptive Bagging and weighted voting is proposed to improve the classificat...