Comparison of the variable importance in projection (VIP) and of the selectivity ratio (SR) methods for variable selection and interpretation
Consejo Superior de Investigaciones Científicas · Institute of Environmental Assessment and Water Research · +1 more institution
Abstract
This study compares the application of two variable selection methods in partial least squares regression (PLSR), the variable importance in projection (VIP) method and the selectivity ratio (SR) method. For this purpose, three different data sets were analysed: (a) physiochemical water quality parameters related to sensorial data, (b) gas chromatography–mass spectrometry (GC‐MS) chemical (organic compound) profiles from fossil sea sediment samples related to sea surface temperature (SST) changes, and (c) exposed genes of Daphnia magna female samples related to their total offspring production. Correlation coefficients ( r ), levels of significance ( p ‐value) and interpretation of the underlying experimental…
Citation impact
- FWCI
- 20.06
- Percentile
- 100%
- References
- 38
Authors
4- MFMireia Farrés
Consejo Superior de Investigaciones Científicas, Institute of Environmental Assessment and Water Research
- SPStefan Platikanov
Consejo Superior de Investigaciones Científicas, Institute of Environmental Assessment and Water Research
- STStefan Tsakovski
Sofia University "St. Kliment Ohridski"
- RTRomá TaulerCorresponding
Consejo Superior de Investigaciones Científicas, Institute of Environmental Assessment and Water Research
Topics & keywords
- Feature selection
- Partial least squares regression
- Interpretation (philosophy)
- Chemistry
- Set (abstract data type)
- Data set
- Variable (mathematics)
- Projection (relational algebra)
- Life below water