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Construction of Sequential Classifier Using Confusion Matrix
Abstract : This paper presents the problem of building the decision scheme in the multistage pattern recognition task. This task can be presented using a decision tree. This decision tree is built in the learning phase of classification. This paper proposes a split criterion based on the analysis of the confusion matrix. Specifically, we propose the division associated with an incorrect classification. The obtained results were verified on the data sets form UCI Machine Learning Repository and one real-life data set of the computer-aided medical diagnosis.
Cited literature [23 references]
https://hal.inria.fr/hal-01496085
Contributor : Hal Ifip <>
Submitted on : Monday, March 27, 2017 - 11:01:49 AM
Last modification on : Tuesday, March 28, 2017 - 1:07:11 AM
Long-term archiving on: : Wednesday, June 28, 2017 - 1:17:19 PM
Contributor : Hal Ifip <>
Submitted on : Monday, March 27, 2017 - 11:01:49 AM
Last modification on : Tuesday, March 28, 2017 - 1:07:11 AM
Long-term archiving on: : Wednesday, June 28, 2017 - 1:17:19 PM
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