MATLAB: Best way to split data into random partitions

Question

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 10000×2 double histogram

Answer 1

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.