Guided regularized random forest (GRRF) is an enhanced regularized algorithm that uses the importance scores from an ordinary random forest to guide the feature selection process .
Comparative studies have shown that GRRF is effective in selecting high-quality feature subsets while maintaining predictive accuracies .
Therefore, the importance scores from the ordinary RF were used to facilitate GRRF's selection of subset wavelengths that can better discriminate between the early symptoms of PLS and healthy maize leaves.
The GRRF was able to select 6 wavelengths using the ranking output of ordinary RF.
Results from the present experiment thus reaffirm previous findings [35, 36, 48] which show that the integrated approach between ordinary RF and GRRF is able to select small subsets of powerful variables in a high dimensionality data by an efficient computation procedure and achieve a competitive performance accuracy.
The six wavelengths identified by GRRF were used as input variables into RF classifier to discriminate between the early stage symptoms (ES) of PLS and healthy stage (HS) of the maize leaves.
Based exclusively on the overall accuracy (AO), the use the wavelengths selected by GRRF (n = 6) proved to be more accurate (AO = 87.68) than the use of all wavelengths (n = 1623) for detecting the early stage of PLS.
Whereas GRRF can be used as a classification algorithm, we preferred to use the traditional RF as a classifier.
An extensive set of in situ hyperspectral measurements was collected over two different seasons, and an integrated new approach of GRRF and ordinary RF was investigated for variable selection and classification process.
GRRF 2016--Global Rubber Research Fair 2016 will be held March 9-11 in Bangkok, Thailand, and is a co-located event at the 3rd Edition of GRTE 2016.
For the benefit of researchers and industry, the organizers of GRRF 2016 (TechnoBiz, China United Rubber Corporation and Mahidol University) are inviting interested professionals from the rubber industry to contribute suggestions and feedback on the research needs of the rubber industry.
GRRF 2016 aims to be an important platform for rubber technology researchers and the rubber industry.