Machine learning methods for functional recovery prediction and prognosis in post-stroke rehabilitation: a systematic review

Table 5 Model performances

Performance measures	Frequency among models^a
Numerical outcomes
R²	10
RMSE	9 (7)
NRMSE	4
R value	8
MADP	3
SRD	2
Categorical outcomes
AUC	9
Accuracy	4
Sensitivity and specificity	3
Hosmer–Lemeshow test	4
NRI	1

The metrics used for the performance evaluation of the models and their frequencies are reported
^aBetween brackets is reported the number of models for which a value of the corresponding metrics is reported

ISSN: 1743-0003