arXiv Open Access 2018

Breast Cancer Diagnosis via Classification Algorithms

Reihaneh Entezari

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Abstrak

In this paper, we analyze the Wisconsin Diagnostic Breast Cancer Data using Machine Learning classification techniques, such as the SVM, Bayesian Logistic Regression (Variational Approximation), and K-Nearest-Neighbors. We describe each model, and compare their performance through different measures. We conclude that SVM has the best performance among all other classifiers, while it competes closely with the Bayesian Logistic Regression that is ranked second best method for this dataset.

Topik & Kata Kunci

stat.ML cs.LG stat.AP stat.CO

Penulis (1)

Reihaneh Entezari

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APA MLA BibTeX

Entezari, R. (2018). Breast Cancer Diagnosis via Classification Algorithms. https://arxiv.org/abs/1807.01334

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Informasi Jurnal

Tahun Terbit: 2018
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓