Regression model (regression)
Open in:QDB ExplorerQDB Predictor
Name | Type | n |
R2 |
σ |
---|---|---|---|---|
Training set | training | 937 | 0.945 | 15.716 |
Validation set | external validation | 234 | 0.950 | 15.705 |
When using this QDB archive, please cite (see details) it together with the original article:
Piir, G.; Sild, S. Data for: A QSPR model for estimation of lower flammability limit temperature of pure compounds based on molecular structure. QsarDB repository, QDB.196. 2017. https://doi.org/10.15152/QDB.196
Gharagheizi, F. A QSPR model for estimation of lower flammability limit temperature of pure compounds based on molecular structure. J. Hazard. Mater. 2009, 169, 217–220. https://doi.org/10.1016/j.jhazmat.2009.03.083
Title: | Gharagheizi, F. A QSPR model for estimation of lower flammability limit temperature of pure compounds based on molecular structure. J. Hazard. Mater. 2009, 169, 217–220. |
Abstract: | In this study, a quantitative structure–property relationship was presented to estimate lower flammability limit temperature (LFLT) of pure compounds. This relationship is a multi-linear equation and has six parameters. These chemical structure-based parameters were selected from 1664 molecular-based parameters by genetic algorithm multivariate linear regression (GA-MLR). Since 1171 compounds were used to develop this equation, the model can be used to estimate the LFLT of a wide range of pure compounds. |
URI: | http://hdl.handle.net/10967/196
http://dx.doi.org/10.15152/QDB.196 |
Date: | 2017-05-11 |
Name | Description | Format | Size | View |
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2009JHM217.qdb.zip | Model for lower flammability limit temperature of pure compounds | application/zip | 63.62Kb | View/ |