Cross validation in GeNIe with different proportions
Cross validation in GeNIe with different proportions
I wanted to make cross validaliton for my model. In different resources they say we must divide our data into two parts like 70% for training and 30% for testing. There is a k-fold cross validation option in GeNIe but, as the manual explains, k-fold divides data into two equal parts. Do I have chance of performing a cross validation as 70% - 30% in GeNIe please? And if yes, how? Best regards.
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Re: Cross validation in GeNIe with different proportions
Sure but you have to split the file into the two parts (70% and 30%) yourself. Then learn the model from the 70% part and perform "Test only" on the 30%. k-fold cross-validation and leave-one-out are much more efficient, although the training phase in these is parameter learning only and not the structure.