Data Preparation
data-labelling
The process of assigning meaningful labels to data points to facilitate supervised learning.
Expanded definition
Data labeling is essential for supervised learning, as it provides the ground truth that models learn from. This process can be manual or automated and often involves domain experts to ensure accuracy. High-quality labeled data is crucial for the performance of machine learning models, as incorrect labels can lead to poor predictions and reduced model effectiveness.
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