Variable selection using support vector regression and random forests: A comparative study
Anis Ben Ishak · Intelligent Data Analysis · 2016
Variable selection is crucial for improving interpretation quality and forecasting accuracy. To this end, it is very interesting to choose an effective dimension reduction technique suitable for processing data according to their specificity and char