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Problem with leave one out for neuralnet model

Olga92Olga92 Member Posts: 5 Learner I
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 

Answers

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    Telcontar120Telcontar120 Moderator, RapidMiner Certified Analyst, RapidMiner Certified Expert, Member Posts: 1,635 Unicorn
    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...

    Brian T.
    Lindon Ventures 
    Data Science Consulting from Certified RapidMiner Experts
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