Journal of the Korean Data and Information Science Society
- Volume 15 Issue 4
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- Pages.911-920
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- 2004
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- 1598-9402(pISSN)
Receiver Operating Characteristic (ROC) Curves Using Neural Network in Classification
- Lee, Jea-Young (Department of Statistics Yeungnam University Kyongsan) ;
- Lee, Yong-Won (Department of Statistics Yeungnam University Kyongsan)
- Published : 2004.11.30
Abstract
We try receiver operating characteristic(ROC) curves by neural networks of logistic function. The models are shown to arise from model classification for normal (diseased) and abnormal (nondiseased) groups in medical research. A few goodness-of-fit test statistics using normality curves are discussed and the performances using neural networks of logistic function are conducted.
Keywords
- Activation function;
- Logistic regression;
- Neural networks;
- Receiver operating characteristic (ROC) curve