Randomly split data set and make sure that a sample of each class is included

3 次查看（过去 30 天）

显示更早的评论

CHRISTOPHER MILLAR 2020-1-7

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/499275-randomly-split-data-set-and-make-sure-that-a-sample-of-each-class-is-included

评论： CHRISTOPHER MILLAR 2020-1-8

在 MATLAB Online 中打开

Hello,

I am randomly splitting my dataset into train,validation and test sets as shown below:

% Random split Complete Data Set
Q = size(completeRDS,1);
Q1 = floor(Q*0.75);
Q2 = Q-Q1;
Q2 = round(Q2/2);
Q3 = Q2;
ind = randperm(Q);
ind1 = ind(1:Q1);
ind2 = ind(Q1+(1:Q2));
ind3 = ind(Q2+(1:Q3));
% Complete Data Set
trainData = completeRDS(ind1,1);
trainSeqLabels = seqLabels(ind1,1);
valData = completeRDS(ind3,1);
valLabels = seqLabels(ind3,1);
testData = completeRDS(ind2,1);
testLabels = seqLabels(ind2,1);

I have just realised that my test set has not included a sample from each class that I am trying to classify. It has not included 2 of the classes

How can i split my data set and make sure that the test set includes at least 1 sample of each class that i am trying to classify?

Thanks in advance

0 个评论
显示 -2更早的评论隐藏 -2更早的评论

请先登录，再进行评论。

请先登录，再回答此问题。

回答（1 个）

MaryD 2020-1-8

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/499275-randomly-split-data-set-and-make-sure-that-a-sample-of-each-class-is-included#answer_409108

If those are images I think best way is to load your data with class labels and then use splitEachLabel( __,'randomize') function.

1 个评论
显示 -1更早的评论隐藏 -1更早的评论

CHRISTOPHER MILLAR 2020-1-8

It is EMG signal data so i dont think this function will work

Thanks for your answer though

请先登录，再进行评论。

请先登录，再回答此问题。

类别

MATLAB Data Import and Analysis

在 Help Center 和 File Exchange 中查找有关 Data Import and Analysis 的更多信息

标签

产品

MATLAB

版本

R2019b

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Translated by