Classification and Prediction of Breast Cancer using Bagging and ANN

Abstract

Artificial Intelligence is the emerging field to make many works almost in all diciplane automation. The machine learning and deep learning are the subset of artificial intelligence and plays a crucial role in making applications automation. Deep learning is a subset of machine learning and showing the effective results and will work as the human neural network works. In the healthcare field, particularly in the classification and prediction of breast cancer, deep learning algorithms such as bagging and artificial neural networks have been employed. These algorithms have been evaluated based on metrics like precision, recall, F1 score, and support. The results indicate that artificial neural networks outperform the bagging algorithm in terms of accuracy, showcasing their effectiveness in healthcare applications.The current work is focused on the healthcare field for classification and the prediction of the breast cancer. For this the deep learning algorithms the bagging and artificial neural networks were used and generated results in terms of the precision, recall, F1 score and support. İn terms of accuracy the artificaial neural network has shown effecive results when campared with the bagging algorithm