How can I use a model exported from classification learner to make a prediction?

So I've trained a model and exported it to my workspace however i get an error when i try to use it to make a prediction. I've tried two forms, one as instructed by matlab, and the 2nd according to this answer

https://www.mathworks.com/matlabcentral/answers/264459-failed-to-call-classification-learner-s-testing-function

first attempt: my code is

m1.predictFcn(featureVec)

and i get an error

Error using array2table (line 62)
The VariableNames property must contain one name for each variable in the table.

Error in mlearnapp.internal.model.DatasetSpecification>@(x)array2table(x','VariableNames',this.PredictorNames)

Error in mlearnapp.internal.model.DatasetSpecification>@(x)exportableClassifier.predictFcn(predictorExtractionFcn(x)) (line 138)
            newExportableClassifier.predictFcn = @(x) exportableClassifier.predictFcn(predictorExtractionFcn(x));

2nd attempt

VarNames = arrayfun(@(N) sprintf('VarName%d',N), 1:4, 'Uniform', 0);
FV_table = array2table( featureVector, 'VariableNames', {'a','b','c','d'});
yfit = m1.predictFcn(featureVector)

and this time the error is

Error using array2table (line 62)
The VariableNames property must contain one name for each variable in the table.

Error in mlearnapp.internal.model.DatasetSpecification>@(x)array2table(x','VariableNames',this.PredictorNames)

Error in mlearnapp.internal.model.DatasetSpecification>@(x)exportableClassifier.predictFcn(predictorExtractionFcn(x)) (line 138)
            newExportableClassifier.predictFcn = @(x) exportableClassifier.predictFcn(predictorExtractionFcn(x));

[Betzalel Fialkoff]

Im pretty desperate for a solution here, any help would be greatly appreciated.

Answer 1

[Billy Ram]

I might be very late in answering this question. I had the same problem and was looking for answers. Make sure that you don't have the supervised class column in your test data.