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1 - Evaluate the predictive accuracy of the model using appropriate metrics (e.g., specificity, sensitivity, AUC, etc.) to classify patients into those who are likely
1 - Evaluate the predictive accuracy of the model using appropriate metrics (e.g., specificity, sensitivity, AUC, etc.) to classify patients into those who are likely to have a stroke and those who are not
2-Based on the model performance, is the model useful in identifying potential stroke patients? Explain why.