Table 2. Summary of kNN models.
Models | Data splitting (training/testing) | Neighborsa | b | c | Descriptors |
---|---|---|---|---|---|
1 | 27/21 | 2 | 0.81 | 0.78 | KierA2, GCUT_SLogP_0, radius |
2 | 28/20 | 2 | 0.82 | 0.74 | KierA2, BCUT_SLogP_3, diameter |
3 | 33/15 | 2 | 0.75 | 0.83 | PEOE_VSA_HYD, vsa_acc, radius |
4 | 35/13 | 2 | 0.77 | 0.86 | PEOE_VSA_HYD, SMR_VSA6, PEOE_PC+, radius |
5 | 36/12 | 2 | 0.74 | 0.89 | KierA2, b_ar, radius |
6 | 37/11 | 4 | 0.76 | 0.93 | KierA2, GCUT_SLogP_0, radius |
aOptimal number of nearest neighbors.
bLOO cross-validated correlation coefficient for the training set.
cCorrelation coefficient for the test set.