_PROBLEM CoEPrA-2006_Classification_004

_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 32 out of 5787 features are 
1346	1488	1560	1700	1843	2075	2588	2608
	2669	2803	2816	2840	2921	2964	
3066	3201	3360	3710	3849	4049	4051	4555
	4680	4734	4746	4794	4909	4929	
4946	5060	5147	5152

In classification stage, these 32 features were given to WEKA's Randon 
Forest 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 6.


_PREDICTION
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