how to divide the Dataset into xtrain xtest ytrain ytest

i have a dataset 2310x25 table and i want to divide it into xtrain xtest ytain ytest.

Answer 1

[uma]

I have attached my two datasets. please help us how we can use it.

[Chunru]

load cmc2.mat
t = readtable('cmc1.csv');

Warning: Column headers from the file were modified to make them valid MATLAB identifiers before creating variable names for the table. The original column headers are saved in the VariableDescriptions property.
Set 'VariableNamingRule' to 'preserve' to use the original column headers as table variable names.

whos

  Name           Size             Bytes  Class     Attributes

  ans            1x33                66  char                
  cmc1        1473x10            121053  table               
  cmdout         1x33                66  char                
  data        1473x10            117840  double              
  t           1473x10            122471  table               

% head(t)
ns = size(data, 1);     % number of samples

cv = cvpartition(ns, 'KFold', 10);
idxTrain = training(cv, 1);
idxTest = test(cv, 1);
traindata = data(idxTrain, :);
testdata  = data(idxTest,  :);
whos

  Name              Size             Bytes  Class          Attributes

  ans               1x33                66  char                     
  cmc1           1473x10            121053  table                    
  cmdout            1x33                66  char                     
  cv                1x1              11978  cvpartition              
  data           1473x10            117840  double                   
  idxTest        1473x1               1473  logical                  
  idxTrain       1473x1               1473  logical                  
  ns                1x1                  8  double                   
  t              1473x10            122471  table                    
  testdata        147x10             11760  double                   
  traindata      1326x10            106080  double                   

Answer 2

[Chunru]

% doc cvpartition

data = randn(2310, 25);
%cv = cvpartition(2310, 'Holdout', 0.3);
%idxTrain = training(cv);
%idxTest = test(cv);

cv = cvpartition(2310, 'KFold', 10);
idxTrain = training(cv, 1);
idxTest = test(cv, 1);


traindata = data(idxTrain, :);
testdata  = data(idxTest,  :);

whos

  Name              Size             Bytes  Class          Attributes

  cmdout            1x33                66  char                     
  cv                1x1              18674  cvpartition              
  data           2310x25            462000  double                   
  idxTest        2310x1               2310  logical                  
  idxTrain       2310x1               2310  logical                  
  testdata        231x25             46200  double                   
  traindata      2079x25            415800  double                   

[uma]

i don't want using holdout cross validation, i want using 10 fold cross validation

[Chunru]

See the update above.

doc cvpartition   % for more details

[uma]

Thank you so much

[uma]

how to use .mat dataset file or csv file as you took data dimensions directly.

[Chunru]

I don't have your data so that I have to assume the dimension.

You can always read in the data and find the dimension.

Answer 3

[uma]

i'm getting the error "Dimensions of matrices being concatenated are not consistent".

[Chunru]

Can you show your code?

[uma]

please check the code.

[uma]

any idea how to resolve the above error?

[uma]

any idea how to resolve the above error?