net=patternnet(10);[net,tr]=train(net,inputs,targets);outputs=net(inputs);[values,pred_ind]=max(outputs,[],1);[~,actual_ind]=max(targets,[],1);accuracy=sum(pred_ind==actual_ind)/size(inputs,2)*100; Is this correct way to calculate the classification accuracy??
MATLAB: How to calculate the classification accuracy in neural network toolbox
accuracyclassificationDeep Learning Toolboxneural network
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