An Improved Random Forest Algorithm for classification in an imbalanced dataset.

被引：0
|
作者：
Jose, Christy [1 ]
Gopakumar, G. [1 ]
机构：
[1] Amrita Vishwa Vidyapeetham, Dept Comp Sci & Engn, Amritapuri Campus, Vallikavu, Kerala, India
来源：
2019 URSI ASIA-PACIFIC RADIO SCIENCE CONFERENCE (AP-RASC) | 2019年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Nowadays machine learning algorithms are being used extensively in industrial applications. Many a times these algorithms are modified and fine tuned so as to improve the current products and get better results. In this paper, we analyse an industrial problem that was put forward in the 'IDA 2016 challenge' and propose an improved solution over the best solution identified as part of the challenge.
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页数：4
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