How to get accuracy rate, error rate, precission, recall and kappa for fitglm model?

I Have sintax for GLM Model, and I already get the grafik predicition.

x = [data.a,data.b, data.c];

y = data.d;

disp('model')

model = fitglm(x,y,'linear');

disp(model);

prediction = predict(model,x);

How can i get accuracy rate, error rate, precission, recall and kappa for the accuration prediction?

Thanks

Answer 1

[Puru Kathuria]

Hi,

I understand that you want to compute the following metrics to evaluate your model. I hope the following explaination helps you in doing so.

Assume the following notations:

C: represent number of classes

: true positives

: false negatives

: True negatives

: False positives

N: total number of test samples

Also, the following is explained for C = 2 , it can be generalized for any value of C.

[ConfusionMat,order] = confusionmat(Y,prediction); % Will return the CxC classes

After you have the confusion matrix, you can compute the following metrics using given formulas:

For your problem, compute Kappa as the following:

[mustafa hayri kesikoglu]

Thank you for the formulas.