Which machine learning algorithm to use when variance is more than bias?


i don’t have any dataset for this question.I found this question in text book.When the training set is small, the contribution of variance to error may be more than that of bias and in such a case; we may prefer a simple model even though we know that it is too simple for the task. Can you give an example?



It would be better, if you ask specific question. If you are facing the problem in a dataset, it would be better to post the data along with the question.

Also, have some quantitive numbers would help, otherwise it is a very broad question.