how to divide the Dataset into xtrain xtest ytrain ytest

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uma
uma 2022-4-25
评论： uma 2022-5-2
i have a dataset 2310x25 table and i want to divide it into xtrain xtest ytain ytest.

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uma
uma 2022-4-28
I have attached my two datasets. please help us how we can use it.
  1 个评论
Chunru
Chunru 2022-4-28
Ran in:
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

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更多回答（2 个）

Chunru
Chunru 2022-4-25
编辑：Chunru 2022-4-25
Ran in:
% 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
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uma
uma 2022-4-28
how to use .mat dataset file or csv file as you took data dimensions directly.
Chunru
Chunru 2022-4-28
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.

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uma
uma 2022-4-28
i'm getting the error "Dimensions of matrices being concatenated are not consistent".
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