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function Classify_Scalars_SVM_MatchSubjs(InData,TITLE,MATCHTOEEG,vars,Xval)
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Big_A=InData(InData(:,1)==1,vars) ;
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Big_B=InData(InData(:,1)~=1,vars) ;
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Big_B=Big_B(MATCHTOEEG',:);
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for rep = 1:28
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if rem(rep,100)==0
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['SVM ' Xval ' ' TITLE ' ' num2str(rep)]
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end
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AllData = cat(1,Big_A,Big_B);
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GROUPS = [ones(1,size(Big_A,1)),zeros(1,size(Big_B,1))];
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Size_Per_Set = size(AllData,1) .* .5;
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% Cross Validate
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testsize = 1;
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trainsize = Size_Per_Set-testsize;
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% get shuffled trials for train set
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TrainBool = ones(1,Size_Per_Set); TrainBool(rep)=0;
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% get shuffled trials for validate set
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Test1Bool = zeros(1,Size_Per_Set); Test1Bool(rep)=1;
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% same for standards and targets
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TrainBool = [TrainBool TrainBool];
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Test1Bool = [Test1Bool Test1Bool];
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% Classify ****** Targets ******
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% training set
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x_train = AllData(TrainBool==1,:);
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% normalize!
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x_mean = mean(x_train); x_std = std(x_train);
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x_train_norm = (x_train - repmat(x_mean,size(x_train,1),1)); % mean normalize
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x_train_norm = x_train_norm./repmat(x_std,size(x_train,1),1);
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y_train = GROUPS(TrainBool==1);
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% validate set
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xtstset1 = AllData(Test1Bool == 1,:);
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% normalize to train set
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xtstset1_norm = (xtstset1-repmat(x_mean,size(xtstset1,1),1));
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xtstset1_norm = xtstset1_norm./ repmat(x_std,size(xtstset1,1),1); % normalize to trn data
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y_tstset1 = GROUPS(Test1Bool==1);
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% store normalizing constants. Important to normalize to that when applying
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% weights to a different data set later.
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norm{1}(rep,:) = x_mean;
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norm{2}(rep,:) = x_std;
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x_train = x_train_norm;
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x_test1 = xtstset1_norm;
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% ############# SVM #############
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SVMModel = fitcsvm(x_train,y_train','KernelFunction','linear');
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[label,score] = predict(SVMModel,x_test1);
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acc=label==y_tstset1';
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Aset_acc(rep,:)=acc(1:length(acc)/2);
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Bset_acc(rep,:)=acc((length(acc)/2)+1:end);
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Aset_score(rep,:)=score(1,1);
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Bset_score(rep,:)=score(2,1);
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% ############# SVM #############
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clearvars -except Aset_acc Bset_acc Aset_score Bset_score rep Big_A Big_B InData Xval TITLE iterations MATCHTOEEG
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end
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% Save
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save(['SVM_',TITLE,'_',Xval,'_iter28','.mat'],'Aset_acc','Bset_acc','Aset_score','Bset_score');
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