TABLE 6.

Prediction of number of RBCs transfused

Method	RMSE	R 2
Baseline: Mean	19.533 (± 1.488)	0.000 (± 0.000)
Baseline: Median	22.236 (± 1.273)	−0.140 (± 0.022)
Neural network	16.549 (± 1.200)	0.152 (± 0.008)
Huber regression	17.140 (± 1.379)	0.122 (± 0.009)
Random forest	16.890 (± 1.295)	0.135 (± 0.004)
Gradient boosting	16.094 (± 1.344)	0.176 (± 0.014)

Note: Statistical parameters of the prediction of the number of RBCs transfused by different models.

Abbreviations: MAE, mean absolute error; RMSE, root mean square error; R ², coefficient of determination.