Single decision tree classifiers' accuracy on medical data
Decision tree is one of the classification techniques for classifying sequential decision problems such as those in medical domain. This paper discusses an evaluation study on different single decision tree classifiers. There are various single decision tree classifiers which have been extensively a...
Saved in:
Main Authors: | Hasan, Md. Rajib, Abu Bakar, Nur Azzah, Siraj, Fadzilah, Sainin, Mohd Shamrie, Sumon, Md. Shariful Hasan |
---|---|
格式: | Conference or Workshop Item |
语言: | English |
出版: |
School of Computing, Universiti Utara Malaysia
2015
|
在线阅读: | http://psasir.upm.edu.my/id/eprint/59080/1/PID188.pdf http://psasir.upm.edu.my/id/eprint/59080/ |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
Single decision tree classifiers' accuracy on medical data
由: Hasan, Md Rajib, et al.
出版: (2015) -
Single decision tree classifiers' accuracy on medical data
由: Hasan, Md Rajib, et al.
出版: (2015) -
Improving ensemble decision tree performance using Adaboost and Bagging
由: Hasan, Md Rajib, et al.
出版: (2015) -
Structural components of students' data-focused information visualization
由: Hasan, Md Rajib, et al.
出版: (2015) -
An expert system based headache solution
由: Hasan, Md. Rajib, et al.
出版: (2012)