Unlabeling data can improve classification accuracy
Early classification in clinical studies is possible with transductive learners. Removal of labels can improve classification accuracy. Algorithms are mislead to different degrees by correctly labeled data. Data has the strongest influence on prediction not percentage of labeling.
classification partially supervised learning transductive learning semi-supervised learning microarray data