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 ap...
保存先:
主要な著者: | Hasan, Md Rajib, Abu Bakar, Nur Azzah, Siraj, Fadzilah, Sainin, Mohd Shamrie, Hasan, Shariful |
---|---|
フォーマット: | Conference or Workshop Item |
言語: | English |
出版事項: |
2015
|
主題: | |
オンライン・アクセス: | http://repo.uum.edu.my/15527/1/PID188_1.pdf http://repo.uum.edu.my/15527/ http://www.icoci.cms.net.my/proceedings/2015/index.html |
タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
類似資料
-
Single decision tree classifiers' accuracy on medical data
著者:: Hasan, Md Rajib, 等
出版事項: (2015) -
Single decision tree classifiers' accuracy on medical data
著者:: Hasan, Md. Rajib, 等
出版事項: (2015) -
Improving ensemble decision tree performance using Adaboost and Bagging
著者:: Hasan, Md Rajib, 等
出版事項: (2015) -
Structural components of students' data-focused information visualization
著者:: Hasan, Md Rajib, 等
出版事項: (2015) -
E4ML: Alat untuk pembelajaran perlombongan data
著者:: Sainin, Mohd Shamrie, 等
出版事項: (2004)