Table 1 Comparison of original models for estimating the enthalpy of sublimation and models re-derived in the current study.

From: Predicting the Enthalpy and Gibbs Energy of Sublimation by QSPR Modeling

 

Politzer et al.

Gharagheizi et al.

Bagheri et al.

Salahinejad et al.a

Mathieu

Equation

5

6

7

10

 

Number of descriptors

2

5

3

4

35

Literature: b

Dataset sizes

   (train.)

34

1079

1269

1042

814

   (test)

5

269

317

260

486

R2 (train.)

0.95

0.97

0.93

0.95

0.99

R2 (test)

NAc

0.97

0.93

0.95

0.99

Errord

11.7

5.5

9.8

7.3

4.1

Re-derived here:e

R2

0.82

0.97

0.96

0.89

0.70

Std. dev.f

13.9

5.4

5.1

10.3

17.1

Largest deviationg

   Positive

127.7

15.8

14.5

34.7

132.1

   Negative

−163.9

−31.5

−20.8

−90.4

−92.9

  1. aThis is a modified form of the original Salahinejad et al. model, with the W1 descriptor replaced by the Hy descriptor. bResults reported in the original analysis in the literature. cNot reported. dAverage error for the Politzer et al., root mean square error (RMSE) for Gharagheizi et al., Bagheri et al. and Mathieu, and standard error estimate (SEE) for Salahinejad et al. models in kJ mol−1. eResults for the training set of 260 compounds from Salahinejad et al. re-derived here. fStandard deviation in kJ mol−1. gDeviation from experiment in kJ mol−1.