Automatic Generation of Regular Expressions from Examples
"When there are less than 200 examples, the training set and validation set have the same size. Otherwise, the training set is composed of 100 examples and the other examples constitute the validation set."<p>Why divide the data into sets like that? Assuming the sample data is representative, wouldn't it be better to use much more for training, say 90% with 10% for validation?