In this challenge you have to deal with a data set where most of the labels are missing, it falls into the category of semi-supervised learning, but unlabeled data is a majority. There is no test data, try to classify the training set and upload it here to see how it evaluates.
File descriptions
wdbc.part: training set with missing labels