how to test the data after trained in classification learner

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shamsah alotibe
shamsah alotibe 2019-5-14
编辑： Arnab Banerjee 2021-3-11
i have data in xlsx. file with 35 raws and 6 columns.. i already trained the data in classification learner and export the model to work space but i do not know how to test it with new data
any one can guiding me please ?
  1 个评论
shamsah alotibe
shamsah alotibe 2019-5-14
i wrot this command in command window :
yfit = C.predictFcn(T)
where T a new data and C the model name but there are some errors that said :
Unable to use a value of type 'cell' as an index.
Error in mlearnapp.internal.model.DatasetSpecification>@(t)t(:,predictorNames) (line 163)
extractPredictorsFromTableFcn = @(t) t(:,predictorNames);
Error in
mlearnapp.internal.model.DatasetSpecification>@(x)extractPredictorsFromTableFcn(splitMatricesInTableFcn(x))
(line 164)
predictorExtractionFcn = @(x)
extractPredictorsFromTableFcn(splitMatricesInTableFcn(x));
Error in
mlearnapp.internal.model.DatasetSpecification>@(x)exportableModel.predictFcn(predictorExtractionFcn(x))
(line 167)
newExportableModel.predictFcn = @(x)
exportableModel.predictFcn(predictorExtractionFcn(x));

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采纳的回答

Shivam Sardana
Shivam Sardana 2019-5-22
The error message in your comment indicates that something is trying to be indexed using a cell array as a subscript, which is a valid indexing method for tables but not an indexing method for a double array.
I may not know about your test dataset. There is a similar question which may be of relevance to you: https://www.mathworks.com/matlabcentral/answers/264459-failed-to-call-classification-learner-s-testing-function
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anita jasmine
anita jasmine 2020-10-28
To test the model,MD Predictedlabels=predict(MD,testfeaturesmatrix) Accuracy=mean (Predictedlabels==testlabels)

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更多回答（2 个）

Fatma HM
Fatma HM 2020-12-18
Hi @Shivam Sardana I need to estimate the test data I have trained, with (ANN,NARX and Ridge regression). Do you have any idea?
Arnab Banerjee
Arnab Banerjee 2021-1-14
编辑：Arnab Banerjee 2021-3-11
@shamsah alotibe kindly check one weather your TestData heading are same as TrainingData or not.. if same then hopefully you will not get this error message, because i have just now resolved this issue, by keeping the coloum name same.

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