Why I can't load data to Classification Learner App

Question

Raihan Khalil 2024-11-30

0
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https://ww2.mathworks.cn/matlabcentral/answers/2169888-why-i-can-t-load-data-to-classification-learner-app

回答： Drew 2024-12-9

After selecting the trainData I cannot select response.

trainData is prepared like this

Last column is the label.

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Subhajyoti 2024-11-30

在 MATLAB Online 中打开

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 2024-11-30

编辑：Cris LaPierre 2024-11-30

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.

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