Husni

Comparative Analysis of Machine Learning Algorithms for Breast Cancer Prediction Based on Fine Needle Aspirate Image Features

Breast cancer is the most frequently diagnosed cancer in women, so accurate and explainable prediction models could support data-driven screening. This study compares seven machine learning algorithms, namely Logistic Regression, SVM (RBF), KNN, Decision Tree, Random Forest, Gradient Boosting, and ANN (MLP), for predic...

Comparative Analysis of Machine Learning Algorithms for Breast Cancer Prediction Based on Fine Needle Aspirate Image Features