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+
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+ ---
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+ tags:
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+ - random-forest
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+ - stroke-prediction
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+ - classification
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+ - healthcare
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+ license: mit
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+ widget:
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+ - text: "Patient details: Age 65, Hypertension 1, Avg_glucose_level 180, BMI 25"
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+ datasets:
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+ - stroke-prediction-dataset
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+ ---
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+
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+ # Stroke Prediction Model
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+
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+ This model uses a Random Forest Classifier to predict the likelihood of a stroke based on patient details.
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+
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+ ## Model Details
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+ - **Algorithm**: Random Forest
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+ - **Use Case**: Healthcare, Stroke Risk Prediction
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+ - **Performance Metrics**:
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+ - **Accuracy**: 94.70%
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+ - **ROC-AUC Score**: 0.79
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+ - **Classification Report**:
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+
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+ ```
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+ precision recall f1-score support
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+
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+ 0 0.95 1.00 0.97 929
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+ 1 1.00 0.02 0.04 53
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+
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+ accuracy 0.95 982
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+ macro avg 0.97 0.51 0.50 982
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+ weighted avg 0.95 0.95 0.92 982
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+ ```
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+
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+ ## How to Use
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+ Download the model and load it using `joblib