Some examples and use cases from the internet:

Some examples and use cases from the internet:

• ... this is pretty much what you'd expect, just like the training error you've set measure it on a cross validation data set, and here's my test set error same as before ...
• Oct 17, 2012 ... Even if you want to simply select an algorithm that gives you highest F1 score, you'd need to use extra cross validation data set to do that.
• Jul 16, 2014 ... Is it usually necessary to split the training data set so that there is a cross validation data set? Or can you use the whole training data set to build ...
• Before we describe the functions to create the cross validation data set we present a small usage example that tries to find a good regularization parameter for a ...

• validation set, and the meta
• Sep 1, 2014 ... Training set size as 50; Cross validation set size 25, and; Test size as 25. But probably this makes more or less sense. How should I really ...
• parameters (in our case, the degree of the polynomial) are adjusted so that this cross
• Minimize cost function for each of the models as before; Test these hypothesis on the cross validation set to generate the cross validation error; Pick the ...
• validation  ...
• Validation set (20% of the original data set): This data set is used to compare the performances of the prediction algorithms that were ...
• The error is evaluated on the cross
• Nov 28, 2011 ... ++Cross