Oversampling and SMOTE improve accuracy of stroke prediction models on the fedesoriano Kaggle dataset, with Random Forest and SVM exceeding 99% test accuracy under oversampling, though clinical sensitivity remains limited.
Soriano, Stroke Prediction Dataset, Kaggle, 2021
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Comparative Analysis of Stroke Prediction Models Using Machine Learning
Oversampling and SMOTE improve accuracy of stroke prediction models on the fedesoriano Kaggle dataset, with Random Forest and SVM exceeding 99% test accuracy under oversampling, though clinical sensitivity remains limited.