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Comparison of various machine learning models for classification

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suman-patel0/Stroke_Prediction

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Stroke_Prediction

Stroke Prediction using 3 Classification Models(LR, RF and XGBoost)

==> Basic EDA
==> Feature Scaling
==> Data balancing using SMOTE
==> GridSearchCV for hyperparameter tuning of models
==> Final result - XGBClassifier -> accuracy = 96.17% & recall = 0.96

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