Binary Classification Models Comparison: On the Similarity of Datasets and Confusion Matrix for Predictive Toxicology Applications-Reference-Cited by-同舟云学术

Binary Classification Models Comparison: On the Similarity of Datasets and Confusion Matrix for Predictive Toxicology Applications

Published:2011 Issue: Volume: Page:108-122
ISSN:0302-9743
Container-title:Information Technology in Bio- and Medical Informatics
language:
Short-container-title:

Author:

Makhtar Mokhairi,Neagu Daniel C.,Ridley Mick J.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-23208-4_11

Reference14 articles.

1. Makhtar, M., Neagu, D.C., Ridley, M.: Predictive Model Representation and Comparison: Towards Data and Predictive Models Governance. In: Proceedings of the 10th UK Workshop on Computational Intelligence UKCI 2010, pp. 1–6. University of Essex, UK (2010)

2. Todeschini, R., Consonnia, V., Pavan, M.: A distance measure between models: a tool for similarity/diversity analysis of model populations. Chemometrics and Intelligent Laboratory Systems 70, 55–61 (2004)

3. Choi, S.-S., Cha, S.-H., Tappert, C.C.: A Survey of Binary Similarity and Distance Measures. Journal of Systemics, Cybernetics and Informatics 8, 43–48 (2010)

4. Lesot, M.-J., Rifqi, M.: Similarity measures for binary and numerical data: a survey. International Journal of Knowledge Engineering and Soft Data Paradigms 1, 63–84 (2009)

5. Sequeira, K., Zaki, M.J.: Exploring Similarities across High-dimensional Datasets. In: Taniar, D. (ed.) Research and Trends in Data Mining Technologies and Applications, vol. 3, pp. 53–85. Idea Group Inc., USA (2007)

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