Accuracy of test data using extracted TrainedModel from Classification Learner (MATLAB only)

Hi Freelancer experts, I am stuck in getting the accuracy of my testing dataset. I have extracted the KNN TrainedModel from the Classification Learner app MATLAB

Now, I have supply Testing data to test on the prediction performance. I have managed to obtained the yfit predictFcn and now, I want to check the accuracy.

I have tried the following code to get the accuracy but error showed.

yfit = [login to view URL](AverageMLSOITesting);

iscorrect = yfit == cell2mat(string([login to view URL]));

iscorrect = iscorrect(:,4);

accuracy = sum(iscorrect)*100/1501;


Conversion of element 1 from <missing> to character vector is not supported.

Error in cell2mat (line 42)

cellclass = class(c{1});

Error in Classifier_testing (line 15)

iscorrect = yfit == cell2mat(string([login to view URL]));

Please help on the reason why the error appeared. Any advise to revise the code.

Skills: Matlab and Mathematica, Mathematics, Engineering, Algorithm, Machine Learning (ML)

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About the Employer:
( 1 review ) Kluang, Malaysia

Project ID: #29963451

3 freelancers are bidding on average $28 for this job


Hello there I have seen and read your project "Accuracy of test data using extracted TrainedModel from Classification Learner (MATLAB only)" and I am very much interested to help. The skill guiding ,me to handle More

$25 USD in 7 days
(6 Reviews)

Hi I am expert in MATLAB and saw your error messages. We can work reomtely on your computer to resolve the problem.

$30 USD in 1 day
(3 Reviews)

Hi.. I will help you to finished this job with high responsibility and accuracy. I have experience with data analysis, ML, and Deep Learning using matlab. I believe that I will finish the job as soon as possible. Conta More

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