function SFBS_FS(  )
%SFFS_TEST Summary of this function goes here
%   Detailed explanation goes here
load( 'medcine_ch' );
%Initialize the 100 feature subset for SA stage.
HammingLoss_msgg_mlknn = [];
RankingLoss_msgg_mlknn = [];
OneError_msgg_mlknn = [];
Coverage_msgg_mlknn = [];
Average_Precision_msgg_mlknn = [];

FS_Final = [];

for foldnum = 1:4
    test = (indices == foldnum);
    train = ~test;
    train_input = data(train,:);
    test_input = data(test,:);
    train_target = targets(train,:);
    test_target = targets(test,:);

    u_target = train_target;
    v_target = test_target;


    %??????2?1???2?????1?????
    num = size(train_input,1);
    [train_t,train_v] = crossvalind('HoldOut',num,0.33);
    train_t_input = train_input(train_t,:);     %???
    train_v_input = train_input(train_v,:);     %???
    train_t_target = train_target(train_t,:);   %????
    train_v_target = train_target(train_v,:);   %????

    [ FS_SFBS,CP ] = SFBS( T_SFBS,train_t_input,train_v_input,train_t_target,train_v_target);

    %     din = find(FS_SFFS);                   %data index??????????????????
    din = FS_SFBS;

    FS_Final= [FS_Final;din];

    u = train_input(:,din);             %????????feasub??????????
    v = test_input(:,din);

    [Prior,PriorN,Cond,CondN]=MLKNN_train(u,u_target',10,1);
    [HammingLoss,RankingLoss,OneError,Coverage,Average_Precision,Outputs,Pre_Labels]=MLKNN_test(u,u_target',v,v_target',10,Prior,PriorN,Cond,CondN);
    HammingLoss_msgg_mlknn(foldnum) = HammingLoss;
    RankingLoss_msgg_mlknn(foldnum) = RankingLoss;
    OneError_msgg_mlknn(foldnum) = OneError;
    Coverage_msgg_mlknn(foldnum) = Coverage;
    Average_Precision_msgg_mlknn(foldnum) = Average_Precision;
end;