Please I need a full answer to the following question quickly:

Construction and evaluation of a classifiers accuracy on a dataset require partitioning labeled data into a training set and a test set. Explain three main methods used for such partitioning.

Please no handwritten answer, it is for the Data Mining subject

Thanks in advance