Best way to split data into random partitions?

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G. Nardi
G. Nardi 2019-1-11
评论： G. Nardi 2019-1-12
I am new to Matlab and still a student. For an assignment, I am stuck on this part.
Create 5 random partitions of the data, splitting each of the classes into 60% training and 40% testing.
I have two classes, Class One and Class Two.
I was reading this https://www.mathworks.com/matlabcentral/answers/377839-split-training-data-and-testing-data
How would I be able to do this?
classOne and classTwo is 10000x2 double histogram

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Cris LaPierre
Cris LaPierre 2019-1-12
编辑：Cris LaPierre 2019-1-12
I would use the dividerand function in the Deep Learning Toolbox.
For example
[trainInd,valInd,testInd] = dividerand(3000,0.6,0.2,0.2);
Just set the validation percentage to 0 if you don't need it.
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David Goodmanson
David Goodmanson 2019-1-12
HI Masaki,
Neither do I, but you can use somthing more basic like RandInd = randperm(n), which creates a vector containing a random arrangement of the numbers 1:n. Then you can take the first 60% (or whatever) of RandInd to be TrainInd, etc. and proceed from there.

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