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. 2022 Aug 3;3(10):1230–1239. doi: 10.1039/d2cb00106c

Parameters for the QSAR model developed for the I942 analoguesa.

Training setbc Test setd Cross-validation (CV) Threshold36,37
R 2 0.972 ± 0.008 0.929 ± 0.021 0.772 ± 0.055 R 2 > 0.600 and > 0.500 for CV
σ 27.69 ± 0.60 28.69 ± 2.40
RMSE 11.83 ± 1.81 19.09 ± 3.13 12.78 ± 1.50 RMSE < σ
k 0.972 ± 0.008 0.960 ± 0.090 0.850 ≤ k ≤ 1.150
a

Standard deviations were computed using data from eleven different partitioning of training vs. test sets.

b

Number of molecules in the training set was 45.

c

Number of descriptors were ≤9.

d

Number of molecules in the test set was 11.