Beni-Suef University Journal of Basic and Applied Sciences

Table 3 Statistical parameters of the developed G-QSAR models

From: Rational in silico drug design of HIV-RT inhibitors through G-QSAR and molecular docking study of 4-arylthio and 4-aryloxy-3-iodopyridine-2(1-H)-one derivative

Parameter	Model-I (SA-MLR)	Model-II (SA-PLS)	Model-III (SA-PCR)
n (training/test)	75/22	75/22	75/22
Degree of freedom	83.59	89.35	80.67
r²	0.7311	0.8524	0.7124
q²	0.6874	0.6925	0.6421
F_test	44.0779	55.0374	43.4689
r²_se	0.5214	0.5778	0.5647
q²_se	0.4056	0.4265	0.4136
pred_r²	0.7325	0.7421	0.7025
pred_r²se	0.3445	0.3078	0.3487

r² squared correlation coefficient, q² cross-validated correlation coefficient of leave-one-out method (internal validation), F test Fisher test, Pred_r² correlation coefficient of the training set (external validation), SE standard error

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