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. 2018 Dec 28;17(1):16. doi: 10.3390/md17010016

Table 3.

Exploration of two collections of empirical descriptors for the quantitative structure–activity relationship (QSAR) Random Forests (RF) model of pMIC against MRSA for the training set with an OOB estimation.

Descriptors (#) R2 RMSE 1 MAE 2 % Error ≥ 0.5/% Error < 0.5 3
MACCS (166) 4 0.555 0.649 0.477 37/63
Sub (307) 4 0.509 0.681 0.505 39/61
SubC (307) 4 0.563 0.642 0.468 36/64
PubChem (881) 4 0.561 0.643 0.467 36/64
CDK (1024) 4 0.551 0.652 0.471 36/64
CDK Ext (1024) 4 0.572 0.636 0.456 34/66
1D2D (218) 5 0.364 0.775 0.600 49/51

1 Root mean squared error. 2 Mean absolute error. 3 Percent of molecules predicted with absolute error above or below 0.5. 4 Fingerprints. 5 Molecular descriptors.