BioinformaticsbioRxivPreprint
Comparative Analysis of Machine Learning Algorithms for Breast Cancer Classification: SVM Outperforms XGBoost, CNN, RNN, and Others
Prithwish Ghosh, Debashis Chatterjee
This study compares ten machine learning algorithms for breast cancer classification using physical attributes, finding SVM achieves the highest accuracy of 98.2456%.