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Table 3 Performance Metrics of the XGBoost Model on the training, validation, and Testing datasets

From: Death risk prediction model for patients with non-traumatic intracerebral hemorrhage

 

Training set

Validation set

Testing set

Accuracy

0.7402(0.7076, 0.7709)

0.6378(0.5754, 0.697)

0.689 (0.6281, 0.7454)

Sensitivity

0.7071

0.5470

0.7949

Specificity

0.7664

0.7153

0.5985

Precision

0.7050

0.6214

0.6284

F1 score

0.7061

0.5818

0.7019