Optimalisasi Klasifikasi Kanker Payudara Menggunakan Forward Selection pada Naive Bayes

Authors

  • Lastri Widya Astuti Universitas Indo Global Mandiri
  • Imelda Saluza Universitas Indo Global Mandiri
  • Faradilla Faradilla Universitas Indo Global Mandiri
  • M. Fadhiel Alie Universitas Indo Global Mandiri

DOI:

https://doi.org/10.36982/jiig.v11i2.1235

Keywords:

Cancer, breast, naive bayes, forward selection, accuracy

Abstract

Breast cancer is a type of malignant tumor which is still the number one killer where the process of spread or metastasis takes a long time. The number of breast cancer sufferers increases every year so that if detected or caught early, prevention can be done early so as to reduce the number of breast cancer sufferers. To reduce the risk of increasing the number of cancer patients, it is necessary to do early detection, several methods can be used to assist the early detection process such as cancer screening, or computational methods. Several machine learning methods that have been chosen to solve cases of breast cancer prediction, especially the classification algorithm, including Naive Bayes have the advantage of being simple but having high accuracy even though they use little data. Weaknesses in Naive Bayes, namely the prediction of the probability result is not running optimally and the lack of selection of relevant features to the classification so that the accuracy is low. This research is intended to build a classification system for detecting breast cancer using the Naive Bayes method, by adding a forward selection method for feature selection from the many features that exist in breast cancer data, because not all features are features that can be used in the classification process. The result of combining the Naive Bayes method and the forward selection method in feature selection can increase the accuracy value of 96.49% detection of breast cancer patients.

 

Author Biographies

Lastri Widya Astuti, Universitas Indo Global Mandiri

Information System Faculty

Imelda Saluza, Universitas Indo Global Mandiri

Manajemen Informatika

Faradilla Faradilla, Universitas Indo Global Mandiri

Sistem Informasi

M. Fadhiel Alie, Universitas Indo Global Mandiri

Sistem Informasi

Optimalisasi Klasifikasi Kanker Payudara Menggunakan Forward Selection pada Naive Bayes

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Published

2021-01-04

How to Cite

Astuti, L. W., Saluza, I., Faradilla, F., & Alie, M. F. (2021). Optimalisasi Klasifikasi Kanker Payudara Menggunakan Forward Selection pada Naive Bayes. Jurnal Ilmiah Informatika Global, 11(2). https://doi.org/10.36982/jiig.v11i2.1235

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