Predicting Breast Cancer from Risk Factors Using SVM and Extra-Trees-Based Feature Selection Method
Developing a prediction model from risk factors can provide an efficient method to recognize breast cancer. Machine learning (ML) algorithms have been applied to increase the efficiency of diagnosis at the early stage. This paper studies a support vector machine (SVM) combined with an extremely rand...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI
2022
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| Subjects: | |
| Online Access: | https://repository.ugm.ac.id/282964/1/computers-11-00136-v2.pdf |