Prediction of breast cancer using SVM, nb, KNN, AdaBoost and Random Forest classification algorithms

Ayça Acet

Master'sOpen Access

|EN

Prediction of breast cancer using SVM, nb, KNN, AdaBoost and Random Forest classification algorithms

2022

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Advisor: Dr. Öğr. Üyesi Abdullah Erhan Akkaya

Abstract (EN)

To detect breast cancer cells using SVM, NB, KNN, ADABOOST and RANDOM FOREST classification algorithms. To compare the performance of these five classification algorithms in the thesis.

Author

Dr. Ayça Acet

Institution

İnönü University

Institute of Graduate Studies in Science

Computer Engineering

Bilgisayar Mühendisliği Bilim Dalı

How to Cite

Ayça Acet (Master Thesis). Prediction of breast cancer using SVM, nb, KNN, AdaBoost and Random Forest classification algorithms, 2022, İnönü University.

Keywords

Support vector machines K-Nearest Neighbor Algorithm Breast neoplasms Naive Bayes classifier Random forests

License

This work is shared under the specified license terms.

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