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A Comparative Study of Machine Learning Algorithms for Lung Cancer Diagnosis: Evaluating Performance Using ROC Curve, Accuracy, Recall, and F1 Score Metrics

Fakhereldeen E.E Musa , Elnazeer Mohamed Elnoor

This study aims to compare the performance of four popular machine learning algorithms in the field of Classification for lung cancer diagnosis, namely: Decision Tree, Random Forest, Support Vector Machines (SVM), and Logistic Regression: Decision Tree, Random Forest, Support Vector Machines (SVM), Support ...

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