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. 2016 Sep 21;6:33534. doi: 10.1038/srep33534

Table 2. Summary of kNN models.

Models Data splitting (training/testing) Neighborsa Inline graphicb Inline graphicc 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.