Skip to Main content Skip to Navigation
Conference papers

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.
Complete list of metadata

Cited literature [23 references]  Display  Hide  Download

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

File

978-3-642-40925-7_37_Chapter.p...
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Robert Burduk, Pawel Trajdos. Construction of Sequential Classifier Using Confusion Matrix. 12th International Conference on Information Systems and Industrial Management (CISIM), Sep 2013, Krakow, Poland. pp.401-407, ⟨10.1007/978-3-642-40925-7_37⟩. ⟨hal-01496085⟩

Share

Metrics

Record views

236

Files downloads

344