Table 4 MLR models evaluation metrics for each ALLdata, DXAdata and BLDdata.

From: Machine learning allows robust classification of visceral fat in women with obesity using common laboratory metrics

 

ALLdata

DXAdata

BLDdata

\(\hbox {R}^{2}\)

0.62

0.58

0.44

\(\hbox {R}^{2}\) Adjusted

0.53

0.52

0.38

MAE

445.86

401.40

478.22

MSE

339450.34

305505.12

379932.60

RMSE

582.62

552.73

616.39

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