The AmericaView classification methods accuracy comparison project: A rigorous approach for model selection
详细信息 查看全文
- 作者：Rick L. Lawrence ; rickl@montana.edu" class="auth_mail" title="E-mail the corresponding author ; Christopher J. Moran
- 关键词：C5.0 ; Classification tree analysis ; Classification algorithms ; Logistic model trees ; Multivariate adaptive regression splines ; Random forest ; Support vector machines
- 刊名：Remote Sensing of Environment
- 出版年：2015
- 出版时间：1 December 2015
- 年：2015
- 卷：170
- 期：Complete
- 页码：115-120
- 全文大小：369 K
文摘
- •
We compared overall accuracy of six classification methods using 30 datasets.
- •
Accuracies were also compared for spectral band data only and for rare classes.
- •
Random forest had higher mean overall accuracies than other methods tested.
- •
The highest accuracies were dataset dependent; no method was best for all purposes.