Semi-supervised Learning

Semi-supervised learning is the combination of both Supervised Learning and Unsupervised Learning, where the dataset has some labeled and some unlabeled data.

Usually, the quantity of unlabeled examples is much higher than the labeled examples.

The model has to predict the label Y for both labeled and unlabeled data same like Supervised Learning.