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What is Lung Cancer Prediction with ML Methods about?

This research paper focuses on predicting lung cancer using various machine learning algorithms, including K-Nearest Neighbors, Support Vector Machine, Multilayer Perceptron, and Radial Basis Function classifiers, evaluated on a text-based dataset with 15 features. The study aims to compare the performance of these algorithms with and without feature selection methods, finding that the Multilayer Perceptron consistently achieves around 90% accuracy. The paper also discusses the importance of early diagnosis

Author

PRAYANK

Language

EN