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The document discusses the rising concern of breast cancer, particularly among women aged 40 and above, and emphasizes the importance of early detection through machine learning models. It outlines various machine learning techniques, including supervised and unsupervised learning, and specific algorithms like Logistic Regression, Support Vector Machine, K-Nearest Neighbor, and Random Forest for predicting breast cancer. The paper aims to provide a predictive system to assess the severity of cancer based on

Author

vidya29092003

Language

EN