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. 2022 May 25;16:832276. doi: 10.3389/fnins.2022.832276

Table 4.

Evaluation of different inputs to the different combinations of XGBoost on the CNP dataset.

Method Input ACC (%) PRE (%) REC (%) F1 (%)
PCA+XGBoost fMRI 38.00 (7.00) 35.00 (4.00) 36.16 (3.00) 33.00 (2.00)
sMRI 37.00 (8.00) 35.00 (3.00) 36.00 (10.00) 32.00 (9.00)
fMRI+sMRI 49.00 (11.00) 45.00 (8.00) 49.00 (8.00) 45.00 (7.00)
CCA+XGBoost fMRI 36.00 (10.00) 34.00 (4.00) 36.00 (7.00) 35.00 (8.00)
sMRI 38.20 (1.00) 37.06 (7.00) 35.00 (9.00) 36.00 (4.00)
fMRI+sMRI 49.00 (8.00) 46.00 (14.00) 49.00 (12.00) 44.00 (14.00)
DCL-XGBoost fMRI 56.00 (2.00) 58.00 (8.00) 60.00 (3.00) 53.00 (9.00)
sMRI 58.00 (6.00) 62.00 (8.00) 52.00 (11.00) 55.00 (6.00)
fMRI+sMRI 72.00 (8.00) 81.00 (2.00) 70.00 (3.00) 75.00 (3.00)