I'm building a model with adaboost and trying to the roc plot to work. here's my codes:
ens=fitensemble(X,y,'AdaBoostM1',100,'Tree');
[ytest, scores] = predict(ens,Xtest);
figure
[xx,yy] = perfcurve(label, scores(:,2),'yes');
plot(xx,yy)
xlabel('FPR')
ylabel('TPR')
title('ROC');
However, this is giving me an error:
Error using perfcurve>membership (line 693)
Positive class is not found in the input data.
my training data size is 1000x19 and testing data size is 100x19.
Here's the source from matlab: https://www.mathworks.com/matlabcentral/fileexchange/42744-machine-learning-with-matlab?focused=6797233&tab=example