Semi-supervised.

Semi-supervised learning is a type of machine learning that lies between supervised and unsupervised learning. It uses a small amount of labeled data along with a large amount of unlabeled data during training. The main idea is to use the limited labeled data to guide the learning process and help the algorithm make sense of the unlabeled data.

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