ARCHIVES
Breast Cancer Detection Using Supervised Machine Learning Algorithms
¹Department of Computer Science, Sri Kaliswari College (Autonomous), Tamilnadu, India. ²Assistant professor, Department of Computer Sccience, Sri Kaliswari College (Autonomous), Tamilnadu, India.
Published Online: March-April 2023
Pages: 471-475
Cite this article
No DOI
Abstract
View PDFAbstract: Breast cancer is one of the most widespread diseases among women in the India and worldwide. There is a chance of fifty percent for death in a case as one of two women diagnosed with breast cancer die in the cases of Indian women. This paper compares three of the largely popular machine learning algorithms and techniques commonly used for breast cancer prediction, namely Random Forest, Logistic Regression and kNN (k-Nearest-Neighbor). The Wisconsin Diagnosis Breast Cancer data set was used as a training set to compare the performance of the three machine learning techniques in terms of key parameters such as accuracy, precision and Recall. The results obtained are very competitive and can be used for detection and treatment.
Related Articles
2023
Review: CFD Analysis Of triangular, square and Circular Shaped Helical Coil Heat Exchanger by Using Titanium Oxide Nano fluid
2023
Enhanced Dynamic Voltage Restorer for Improving the Power Quality Using RETO Algorithm
2023
Crop Disease Detection Using Neural Network and Machine Learning Algorithms
2023
Transient & Steady Thermal Analysis of Two Different Types of 100 cc Engine by Using Fins
2023
Review: Analysis of Shell & Coil Heat Exchanger by Using Cuprous Oxide and Silica Nano fluid at Different Mass Flow Rate
2023
A Preliminary Study on Biodiesel Production Using Waste Cooking Oil as the Feedstock
2023
Predicting Real Estate Price Using Linear Regression
2023
Heart Disease Prediction using Machine Learning Algorithms
2023
Smart Parking System using IoT
2023
Review: Computational Fluid Dynamics Analysis of Shell and Coil Heat Exchanger by Using Alumina in Different Mass Flow Rate
