Closed WeiFoo closed 8 years ago
To check where this bug happens, run the experiment individually for the following learners(feature number = 100 for simplicity):
the bug is due to the distribution of training data. In some circumstances, randomly splitting data might cause training data only including samples with one type of label, like "yes" label , without "no" samples!
fix: stratified sampling !
By looking at the HPC results, there're still some issues that the learner can't work well(I mean errors, either the data issues or some others) when tuning learner is set. need to debug and fix...