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. 2021 Sep 9;100:108127. doi: 10.1016/j.intimp.2021.108127

Table 3.

Performance results of AR models obtained to estimate antioxidant-oxidant parameters.

Model Statistics



Model Number of Predictors R2 (%) RMSE MAPE MAE Max APE Normalized BIC Ljung-Box Q (sig.) Number of Outliers
Dissulfide/Native Thiol 5 64.4 1.84 7.56 1.16 13.86 2.57 0.14 1
Dissulfide 5 41.8 5.4 6.45 3.65 18.08 4.5 0.95 0
Dissulfide /Total Thiol 5 52.3 1.50 7.8 0.98 14.20 1.85 0.91 0
GPx 5 61.9 3.6 8.6 7.06 17.9 3.5 0.38 0
GSH 5 57.1 2.16 13.5 6.8 16.2 2.7 0.74 0
MDA 5 62.1 3.65 12.02 5.68 19.68 3.5 0.35 1
Native Thiol 5 59.7 9.02 9.8 12.9 18.6 6.71 0.65 1
Native Thiol/Total Thiol 5 78.4 2.3 1.4 1.2 4.35 3.4 0.84 0
8-OHdG/106 dG 5 58.8 1.2 11.8 0.81 16.14 1.5 0.08 0
SOD 5 64.3 1.8 4.3 1.1 14.7 2.15 0.61 1
Total Thiol 5 63.8 8.9 7.3 5.6 9.84 3.11 0.96 1

SOD: Superoxide dismutase; GPx: Glutathione peroxidase; GSH: Reduced glutathione; MDA: Malondialdehyde; 8-OHdG: 8-hydroxy-2-deoxy guanosine; MAPE: Mean absolute percent error; MAE: Mean absolute error; Max APE: Maximum absolute percent error; RMSE: Root mean square error; BIC: Bayesian information criterion; R2: Coefficient of determination.