Regression model (regression) QMRF
Open in:QDB ExplorerQDB Predictor
Name | Type | n |
R2 |
σ |
---|---|---|---|---|
Training set | training | 167 | 0.714 | 0.446 |
Test set | external validation | 81 | 0.602 | 0.521 |
When using this QDB archive, please cite (see details) it together with the original article:
Piir, G. Data for: QSAR for abiotic degradation in air. QsarDB repository, QDB.223. 2020. https://doi.org/10.15152/QDB.223
Tulp, I.; Tamm, T.; Karelson, G.; Dobchev, D.; Martin, D.; Tämm, K.; Savchenko, D.; Jänes, J.; Härk, E.; Kreegipuu, A.; Karelson, M. QSAR for abiotic degradation in air. Q13-22a-0034. Molcode Ltd., 2010.
Title: | Tulp, I.; Tamm, T.; Karelson, G.; Dobchev, D.; Martin, D.; Tämm, K.; Savchenko, D.; Jänes, J.; Härk, E.; Kreegipuu, A.; Karelson, M. QSAR for abiotic degradation in air. Q13-22a-0034. Molcode Ltd., 2010. |
Abstract: | This QSAR model corresponds to the QMRF Q13-22a-0034 "QSAR for abiotic degradation in air" from the JRC QSAR Model Database |
URI: | http://hdl.handle.net/10967/223
http://dx.doi.org/10.15152/QDB.223 |
Date: | 2020-04-17 |
Name | Description | Format | Size | View |
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Q13-22a-0034.qdb.zip | Degradation in air | application/zip | 142.8Kb | View/ |
Q13-22a-0034.pdf | QMRF | 37.04Kb | View/ |