Code problem of SVM in concrete regression

I am doing SVM learning, the code is

[Predict_1,error_1] = svmpredict(tn_train,pn_train,model);

[Predict_2,error_2] = svmpredict(tn_test,pn_test,model); taken from GitHub, but there are problems, mainly for this piece of code after running, it is empty set

Answer 1

[Umar]

Hi ZZ,

After reading your comments, I can think of mismatched dimensions of input data, improper model initialization, or errors in the svmpredict function call. Implement error handling to capture any exceptions that might occur during the prediction process.

try [Predict_1, error_1] = svmpredict(tn_train, pn_train, model); [Predict_2, error_2] = svmpredict(tn_test, pn_test, model); catch ME disp('An error occurred during prediction:'); disp(ME.message); end

Hope this will help resolve your problem. Let me know if I can assist further.