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About Machine Learning
This document reviews machine learning techniques for breast cancer diagnosis and prognosis. It begins by providing context on breast cancer and the importance of early diagnosis. It then gives an overview of common machine learning techniques like artificial neural networks, support vector machines, decision trees, and k-nearest neighbors. The document focuses on applying these techniques to the Wisconsin Breast Cancer Database to classify tumors as benign or malignant and analyze prognosis. It finds that machine learning can accurately analyze this database and achieve classification accuracy between 94.36-99.90%.
Detailed Information
| Author: | ['kiran'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 17 |
| Language: | English |
| Format: | |
| Price: | FREE |
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