Why I can't load data to Classification Learner App

After selecting the trainData I cannot select response.

trainData is prepared like this

Last column is the label.

[Image Analyst]

I don't know. It should enable those radio buttons once the data has been loaded into the app.

If you have any more questions, then attach your data and code to read it in with the paperclip icon after you read this:

TUTORIAL: How to ask a question (on Answers) and get a fast answer

save('answers.mat', 'trainData');

then attach answers.mat with the paperclip icon.

[Subhajyoti]

Hi @Raihan Khalil,

I tried to reproduce the error you are facing using the ' Train Decision Trees Using Classification Learner App' example and the 'Response' select options are active.

fishertable = readtable("fisheriris.csv")

fishertable = 150x5 table
    SepalLength    SepalWidth    PetalLength    PetalWidth     Species  
    ___________    __________    ___________    __________    __________

        5.1           3.5            1.4           0.2        {'setosa'}
        4.9             3            1.4           0.2        {'setosa'}
        4.7           3.2            1.3           0.2        {'setosa'}
        4.6           3.1            1.5           0.2        {'setosa'}
          5           3.6            1.4           0.2        {'setosa'}
        5.4           3.9            1.7           0.4        {'setosa'}
        4.6           3.4            1.4           0.3        {'setosa'}
          5           3.4            1.5           0.2        {'setosa'}
        4.4           2.9            1.4           0.2        {'setosa'}
        4.9           3.1            1.5           0.1        {'setosa'}
        5.4           3.7            1.5           0.2        {'setosa'}
        4.8           3.4            1.6           0.2        {'setosa'}
        4.8             3            1.4           0.1        {'setosa'}
        4.3             3            1.1           0.1        {'setosa'}
        5.8             4            1.2           0.2        {'setosa'}
        5.7           4.4            1.5           0.4        {'setosa'}

% Convert the cell array to a categorical array
categoryCategorical = categorical(fishertable.Species);
% Convert the categorical array to a double array
categoryDouble = double(categoryCategorical);
fishertable.Species = categoryDouble;

trainData = table2array(fishertable)

trainData = 150×5

5.1000 3.5000 1.4000 0.2000 1.0000 4.9000 3.0000 1.4000 0.2000 1.0000 4.7000 3.2000 1.3000 0.2000 1.0000 4.6000 3.1000 1.5000 0.2000 1.0000 5.0000 3.6000 1.4000 0.2000 1.0000 5.4000 3.9000 1.7000 0.4000 1.0000 4.6000 3.4000 1.4000 0.3000 1.0000 5.0000 3.4000 1.5000 0.2000 1.0000 4.4000 2.9000 1.4000 0.2000 1.0000 4.9000 3.1000 1.5000 0.1000 1.0000

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[Cris LaPierre]

Just a thought, but I think you have too many unique response values.

• Predictor and response variables can be numeric, categorical, string, or logical vectors, cell arrays of character vectors, or character arrays. The response variable cannot contain more than 500 unique class labels. (ref)

Confirm that you want to perform classification. If so, select a subset of your data (<500 rows) and load that into the Classification Learner App. Let us know if that fixes the problem.

Answer 1

[Drew]

Since all of the data is of type "double", perhaps you had intended to use Regression Learner app?

If classification is intended, how many unique values (classes) are there for the response variable?