Breast Cancer Prediction using Different Machine Learning Algorithms
Udit Pratap, Saurabh Chhabra · 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) · 2021
Due to Breast Cancer, many women die all across the globe. Breast Cancer has two stages Benign and Malignant. Several factors are responsible for causing Breast Cancer. Machine Learning is used to find out the optimal parameters from all the parameters and to predict the stage of cancer based on these parameters. Different machine learning algorithms are utilized to identify highly important features, and the cancer stage is forecasted based on these features. To determine the best model for Breast Cancer prediction, the SVM, RF, and KNN are implemented. A variety of factors are used to evaluate the models. With Accuracy=98.25, Precision=98.26, Recall=98.25, and F1-Score=98.26, it has been determined that SVM is the best model for Breast Cancer prediction.