BI Feature Selection

A BI Feature selection descritipn:


"The random search method (weka.attributeSelection.RandomSearch)
in the attribute selection package that can be combined with any
feature subset evaluator in order to search for good subsets randomly.
If no start set is supplied, Random search starts from a random point
and reports the best subset found. If a start set is supplied, Random
searches randomly for subsets that are as good or better than the
start point with the same or or fewer attributes."

But heuristically, with some confidence, the 50000
features selected using Chi-squared correlation produce a more
accurate SVM model than 50000 features selected uniformly at random.