How to set target variable for multiple features in Pattern recognition app of neural network classifier?

I am using pattern recognition app of neural netwrok in matlab.I have 3005 features for six objects. For classification problem, i am putting inputs=[x1(3005 features);x2(3005features),........]. For target variable i am putting that as target=[1 0 0 0 0 ......(upto 3005); 0 1 0 0 0 0 0 (upto3005); 0 0 1 0 0 0 (upto 3005). ]. But i am getting weried confusion matrix. I guess my target set was not correct. Could you please let me know either my target set is okay or not? I appreciate your help. I look forward to hearing you soon.

I am attaching my code below:

inputs=[TransposeUniqueFeature(1,:);TransposeUniqueFeature(2,:);TransposeUniqueFeature(3,:);TransposeUniqueFeature(4,:);TransposeUniqueFeature(5,:);TransposeUniqueFeature(6,:)];

targets=[TransposeUniqueFeature(7,:);TransposeUniqueFeature(8,:);TransposeUniqueFeature(9,:);TransposeUniqueFeature(10,:);TransposeUniqueFeature(11,:);TransposeUniqueFeature(12,:)];

% Create a Pattern Recognition Network

hiddenLayerSize = 80;

net = patternnet(hiddenLayerSize);

% Set up Division of Data for Training, Validation, Testing

net.divideParam.trainRatio = 60/100;

net.divideParam.testRatio = 30/100;

net.divideParam.valRatio = 10/100;

% Train the Network

[net,tr] = train(net,inputs,targets);

% Test the Network

outputs = net(inputs);

errors = gsubtract(targets,outputs);

performance = perform(net,targets,outputs);

% View the Network

view(net)

% Plots

% Uncomment these lines to enable various plots.

figure;

plotperform(tr)

figure;

plottrainstate(tr)

figure;

plotconfusion(targets,outputs)

figure, ploterrhist(errors)