when a test set is too small when evaluating a model in bioinformatics what is the problem of evaluating the learning method? how to evaluate model when testing data are too few? how to evaluate a model using a large sample for an exam how often do you need negative examples what is negative examples in bioinformatics how to check if model is good for testing and learning how do i evaluate my learning methods when testing data is too few? how many examples is there in the testing data how to evaluate a learning method how to evaluate a learning method in bioinformatics how to test a model when the test data is too few and the generated results don't match testing data? when do positive examples come and go how many positive examples in bioinformatics dataset why are the test results lacking why do the generated tests don't match the test data how many positive examples can bioinformatic model how many negative examples for bioinformatics how many examples are in a bioinformatic model