Regression model (regression)
Open in:QDB ExplorerQDB Predictor
Name | Type | n |
R2 |
σ |
---|---|---|---|---|
Training set | training | 256 | 0.970 | 0.209 |
Validation set | external validation | 85 | 0.966 | 0.220 |
Test set | testing | 1095 | N/A | N/A |
When using this QDB archive, please cite (see details) it together with the original article:
Piir, G. Data for: Predicting logarithmic values of the subcooled liquid vapor pressure of halogenated persistent organic pollutants with QSPR: How different are chlorinated and brominated congeners?. QsarDB repository, QDB.121. 2014. https://doi.org/10.15152/QDB.121
Gajewicz, A.; Haranczyk, M.; Puzyn, T. Predicting logarithmic values of the subcooled liquid vapor pressure of halogenated persistent organic pollutants with QSPR: How different are chlorinated and brominated congeners?. Atmos. Environ. 2010, 44, 1428–1436. https://doi.org/10.1016/j.atmosenv.2010.01.041
dc.date.accessioned | 2014-10-24T10:48:31Z | |
dc.date.available | 2014-10-24T10:48:31Z | |
dc.date.issued | 2014-10-24 | * |
dc.identifier.uri | http://hdl.handle.net/10967/121 | |
dc.identifier.uri | http://dx.doi.org/10.15152/QDB.121 | |
dc.description.abstract | Logarithmic values of the subcooled liquid vapor pressure (log PL) were estimated for 1436 polychlorinated and polybrominated congeners of benzenes, biphenyls, dibenzo-p-dioxins, dibenzofurans, diphenyl ethers and naphthalenes by employing the Quantitative Structure-Property Relationships (QSPR) approach. The QSPR model developed with GA-PLS technique was characterized by satisfactory goodness-of-fit, robustness and the external predictive performance (R2_Y = 0.970, Q2_CV = 0.970, Q2_Ext = 0.966, RMSE_C = 0.21, RMSE_CV = 0.22 and RMSE_P = 0.22). The externally validated model has been applied to predict subcooled liquid vapor pressure of uninvestigated halogenated persistent organic pollutants. Moreover, a simple arithmetic relationship between logarithmic values of subcooled liquid vapor pressures in pairs of chloro- and bromo-analogues has been found. This relationship can be used for estimating log PL of a brominated compound, whenever log PL of its chlorinated counterpart is known, without necessity of performing any time-consuming computations. | |
dc.publisher | Geven Piir | |
dc.rights | Attribution 4.0 International | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.title | Gajewicz, A.; Haranczyk, M.; Puzyn, T. Predicting logarithmic values of the subcooled liquid vapor pressure of halogenated persistent organic pollutants with QSPR: How different are chlorinated and brominated congeners?. Atmos. Environ. 2010, 44, 11, 1428–1436. | |
qdb.property.endpoint | 1. Physical Chemical Properties 1.4. Vapour pressure | en_US |
qdb.descriptor.application | MOPAC 2009 | en_US |
qdb.prediction.application | PLS Toolbox 5.2 | en_US |
bibtex.entry | article | en_US |
bibtex.entry.author | Gajewicz, A. | |
bibtex.entry.author | Haranczyk, M. | |
bibtex.entry.author | Puzyn, T. | |
bibtex.entry.doi | 10.1016/j.atmosenv.2010.01.041 | en_US |
bibtex.entry.journal | Atmos. Environ. | en_US |
bibtex.entry.month | Apr | |
bibtex.entry.number | 11 | en_US |
bibtex.entry.pages | 1428–1436 | en_US |
bibtex.entry.title | Predicting logarithmic values of the subcooled liquid vapor pressure of halogenated persistent organic pollutants with QSPR: How different are chlorinated and brominated congeners? | en_US |
bibtex.entry.volume | 44 | en_US |
bibtex.entry.year | 2010 | |
qdb.model.type | Regression model (regression) | en_US |
Name | Description | Format | Size | View |
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2010AE1428.zip | Model for subcooled liquid vapour pressures | application/zip | 755.0Kb | View/ |