Problem with leave one out for neuralnet model
I'm working with the neural network model and I'm trying to validate using cross validation more precisely the leave one out mode, my problem is that I can't define the % I want to train and the rest to test.
Initially I used a normal validation with a training percentage at the split ratio level.
How can I do it?
Thanks for your help
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Telcontar120
New Altair Community Member
When you use "leave one out" then you don't specify a train/test percentage because it will literally train on n-1 observations and test on a single observation at at time for n repetitions. So if you have 100 examples, it will do this 100 times. Be very careful with LOO cross valiation and large datasets...