Co-training

• A semi-supervised learning approach particularly useful when all of the following conditions are true
• The ratio of unlabeled examples to labeled examples in the dataset is high.
• This is a classification problem (binary or multi-class).
• The dataset contains two different sets of predictive features that are independent of each other and complementary.
• Co-training essentially amplifies independent signals into a stronger signal.