Unlabeled Dataset

An unlabeled dataset is a collection of data points that have not been assigned any predefined categories or labels. Unlike labeled datasets, where each data point is associated with a specific label or category, unlabeled datasets do not have any such annotations. Unlabeled datasets are often used in unsupervised learning, where the goal is to identify patterns or structures in the data without any prior knowledge of the labels. Unlabeled datasets can also be used in semi-supervised learning, where a small subset of the data is labeled and the rest is left unlabeled. This approach can help reduce the cost and time required for labeling large datasets, while still achieving high accuracy in the learning process.
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