I built a cross-validated SVM model with fitcsvm but I cant seem to use “predict” to predict responses from a new data with the model
Hi there
I built a cross validated and Bayesian Optimised model (CValidated_SVMModel_for_AUC1) with Support Vector Machines (SVM) on MATLAB with the "fitcsvm" syntax
I need to use the cross validated model to predict the responses from a new data (X_test)
I have tried to use this:
[Predicted_label,score] = kfoldPredict(CValidated_SVMModel_for_AUC1, X_test) without sucess
I have also tried to use:
[label,score] = predict(SVMModel_for_AUC1,X_test) without success
I will apprecaite if someone can advise me on how to resolve this
Thank YouHi there
I built a cross validated and Bayesian Optimised model (CValidated_SVMModel_for_AUC1) with Support Vector Machines (SVM) on MATLAB with the "fitcsvm" syntax
I need to use the cross validated model to predict the responses from a new data (X_test)
I have tried to use this:
[Predicted_label,score] = kfoldPredict(CValidated_SVMModel_for_AUC1, X_test) without sucess
I have also tried to use:
[label,score] = predict(SVMModel_for_AUC1,X_test) without success
I will apprecaite if someone can advise me on how to resolve this
Thank You Hi there
I built a cross validated and Bayesian Optimised model (CValidated_SVMModel_for_AUC1) with Support Vector Machines (SVM) on MATLAB with the "fitcsvm" syntax
I need to use the cross validated model to predict the responses from a new data (X_test)
I have tried to use this:
[Predicted_label,score] = kfoldPredict(CValidated_SVMModel_for_AUC1, X_test) without sucess
I have also tried to use:
[label,score] = predict(SVMModel_for_AUC1,X_test) without success
I will apprecaite if someone can advise me on how to resolve this
Thank You predict, crossvalidated, svm, cross-validated MATLAB Answers — New Questions
