10967/123 - QDB Compounds

QsarDB Repository

Saldana, D. A.; Starck, L.; Mougin, P.; Rousseau, B.; Pidol, L.; Jeuland, N.; Creton, B. Flash Point and Cetane Number Predictions for Fuel Compounds Using Quantitative Structure Property Relationship (QSPR) Methods. Energy Fuels 2011, 25, 9, 3900–3908.

Compound

ID:298
Name:benzyl ethanoate
Description:
Labels:Aromatics, (Oxygenates)
CAS:
InChi Code:InChI=1S/C9H10O2/c1-8(10)11-7-9-5-3-2-4-6-9/h2-6H,7H2,1H3

Properties

FP: Flash point [K]

ValueSource or prediction
363.15

experimental value

352.88

FP_PLS-MD: PLS-MD model for flash point (Training set)

358.93

FP_SVM-GD: SVM-GD model for flash point (Training set)

359.36

FP_NN-MD: NN-MD model for flash point (Training set)

354.98

FP_NN-GD: NN-GD model for flash point (Training set)

356.55

FP_consensus: Consensus model for flash point (Training set)

CN: Cetane number

ValueSource or prediction
-20.78

CN_SVM-GD: SVM-GD model for cetane number (Prediction set)

-2.38

CN_SVM-MD: SVM-MD model for cetane number (Prediction set)

-6.03

CN_NN-MD: NN-MD model for cetane number (Prediction set)

48.08

CN_GRNN-MD: GRNN-MD model for cetane number (Prediction set)

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