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Fig. 2 | BMC Neurology

Fig. 2

From: Machine learning-based predictive model for the development of thrombolysis resistance in patients with acute ischemic stroke

Fig. 2

Comparison of the receiver operating characteristic (ROC) curves for machine learning models in which thrombolysis resistance occurs. (A) Training group. (B) Testing group.LR, logistic regression; LASSO, the least absolute shrinkage and selection operator; XGBoost, extreme gradient boosting; SVM, support vector machine; RF, random forest; AUC, area under the curve

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BMC Neurology

ISSN: 1471-2377

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