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predicts the risk of brain stroke using the Random Forest algorithm. It includes advanced techniques like undersampling to address class imbalance and hyperparameter tuning to improve accuracy. The model was trained on a large real-world healthcare dataset and achieved an impressive 85% accuracy/
LEOQuester/Stroke_predictor_AI_flask_service
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predicts the risk of brain stroke using the Random Forest algorithm. It includes advanced techniques like undersampling to address class imbalance and hyperparameter tuning to improve accuracy. The model was trained on a large real-world healthcare dataset and achieved an impressive 85% accuracy/
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