Integration of Bagging and greedy forward selection on image pap smear classification using Naïve Bayes

Dwiza Riana, Achmad Nizar Hidayanto, Fitriyani

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Herlev dataset consists of 7 cervical cell classes, i.e. superficial squamous, intermediate squamous, columnar, mild dysplasia, moderate dysplasia, severe dysplasia, and carcinoma in situ is considered. The dataset will be tested to classify two classes, consisting of normal and abnormal cells. Seven different cell types will be classified to separate the cells into 7 classes which are 3 normal cell classes and 4 abnormal cell classes. There are still some difficulties to classify the dataset into seven classes. This Pap smear image dataset has a class with a number of different and unbalanced classes. Another condition is that the data has features that are suspected to be irrelevant, so it is still difficult to classify especially abnormal classes. To handle the class imbalance, this study used ensemble method (Bagging). For handling data that had features and had no contribution, we made feature selection of Greedy Forward Selection. Furthermore, Naïve Bayes was used as learning algorithms. The results of this study obtained the highest accuracy value for the classification of two classes that are normal and abnormal using Naïve Bayes model with Greedy Forward Selection of 92.15%. As the classification of seven classes is good enough for Naïve Bayes model and Greedy Forward Selection with Bagging of 63.25% although it still needs to improve.

Original languageEnglish
Title of host publication2017 5th International Conference on Cyber and IT Service Management, CITSM 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538627372
DOIs
Publication statusPublished - 27 Oct 2017
Event5th International Conference on Cyber and IT Service Management, CITSM 2017 - Denpasar, Bali, Indonesia
Duration: 8 Aug 201710 Aug 2017

Publication series

Name2017 5th International Conference on Cyber and IT Service Management, CITSM 2017

Conference

Conference5th International Conference on Cyber and IT Service Management, CITSM 2017
CountryIndonesia
CityDenpasar, Bali
Period8/08/1710/08/17

Keywords

  • Bagging
  • Naïve Bayes
  • Pap smear images
  • classification
  • feature selection

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