Research Article

Dynamic Localized SNV, Peak SNV, and Partial Peak SNV: Novel Standardization Methods for Preprocessing of Spectroscopic Data Used in Predictive Modeling

Table 2

Summary of the model performances described by the mean value and the standard deviation of the RMSEP values during cross validation. The relative improvements and respective p-values compared with LSNV are also listed.

MethodFriction modifier ATF AAntioxidant ATF B
TransmissionAbsorbanceTransmissionAbsorbance

Raw0.83 ± 0.220.53 ± 0.160.90 ± 0.140.70 ± 0.11
Single SNV0.34 ± 0.140.42 ± 0.170.61 ± 0.110.70 ± 0.13
LSNV0.30 ± 0.070.31 ± 0.070.24 ± 0.040.24 ± 0.04
DLSNV0.28 ± 0.060.26±0.050.21 ± 0.040.21 ± 0.04
Rel. improvement9% ()16% ()13% ()13% ()
PSNV0.28 ± 0.080.28 ± 0.060.33 ± 0.060.31 ± 0.07
Rel. improvement8% ()9% ()−41% ()−33% ()
PPSNV0.26 ± 0.060.26 ± 0.060.17±0.040.24 ± 0.05
Rel. improvement13% ()15% ()29% ()−3% ()