_PROBLEM CoEPrA-2006_Classification_001

_GROUP_NAME Fatih Amasyali

_GROUP_MEMBERS
Fatih Amasyali

_ADDRESS
Yildiz Technical University Computer Eng. Dept. 34349 Besiktas, Istanbul, Turkey

_MODELING_PROCEDURE
 
WEKA's CfsSubsetEval was used for feature selection.
In CfsSubsetEval, subsets of features that are highly correlated with
 the class while having low intercorrelation are preferred.
The selected 38 out of 5787 features are 
161	369	617	944	1050	1057	1080	1218	1383
	1402	1484	1517	1553	1755	1936	2030	2147
	2175	2237	2543	2748	2851	2972	3293	3314
	4187	4236	4481	4549	4768	4895	5225	5262
	5317	5366	5564	5731	5764

In classification stage, these 38 features were given to WEKA's RandomForest classifier.
Random Forest construct several decision trees with random subspace
 selection and bootstrapping.
In Random Forest, each tree is constructed with Breiman's CART algorithm.
The number of trees in classifier is 100. 
The number of features in each decision tree is 2.


_PREDICTION
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