How deeply does Data Analysis with LLMs cover label?

Defines labels as categories and shows how ground truth supports checking predictions, without detailing how to design a label scheme.

Label

As explained in Data Analysis with LLMs

A class label is a category designation assigned to an instance in a classification task.

A class label names the category assigned to an instance in a classification task. For a movie review, labels might be positive or negative; other tasks may use categories such as Work or Offensive. section 4.2

A ground-truth label records the correct category for an instance. Comparing predicted labels with ground truth helps assess classification quality. section 4.2.6 section 9.2

Table 4.1 Extracts from movie reviews and associated class labels

Review	Class
First of all this movie is a piece of reality very well realized artistically. ...	Positive
Re-titled “Gangs, Inc.”, this is an obviously weak, cheap mobster melodrama. ...	Negative

Movie-review excerpts paired with positive and negative class labels. section 4.2

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Related concepts

data annotationproduced by · Data annotation is the process of attaching labels, target values, or other structured descriptions or judgments to data examples.
soft targetcontrasts with · A soft target is a probability-weighted distribution over possible outputs that represents graded membership or confidence instead of a single discrete label.
one-hot encodingkind of · One-hot encoding represents each category as a binary vector or set of indicators with exactly one active component identifying that category.
linear regressionused by · Linear regression is a statistical modeling method that estimates a continuous response as a linear combination of predictor variables and fitted coefficients.
generationcontrasts with · Generation is the computational production of outputs from supplied inputs or context, often by applying a model to produce predictions or new content.

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