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. 2021 Aug 25;22(17):9194. doi: 10.3390/ijms22179194

Table 2.

The accuracy of retention index prediction for polar stationary phases.

Model Metric Data Sets
NIST FLAVORS ESSOILS
CNNPolar RMSE 92.0 92.3 70.1
MAE 47.3 53.8 46.9
MdAE 23.4 32.9 30.8
MPE 3.12 3.40 2.84
MdPE 1.56 2.21 1.73
MLPPolar RMSE 82.5 94.2 64.6
MAE 45.8 52.3 45.6
MdAE 27.4 27.5 31.0
MPE 3.07 3.26 2.77
MdPE 1.80 1.86 1.89
Average RMSE 80.3 86.1 58.8
MAE 41.7 46.6 40.4
MdAE 22.0 26.1 26.4
MPE 2.77 2.93 2.47
MdPE 1.45 1.74 1.59
Previous works [23,25,26] RMSE 154 125.4 177.3
MAE 101 89.8 139.0
MdAE 64 68.6 123.5
MPE 5.7 5.76 8.42
MdPE 3.9 4.49 7.09
Linear
model [23]
RMSE 129.1 157.6 91.8
MAE 72.5 92.4 61.7
MdAE 41.2 47.4 43.2
MPE 4.75 5.76 3.62
MdPE 2.77 3.07 2.57