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AudienceQualityMetrics

Source code in docs_src/capo_cleanroomsml/types/audience_quality_metrics.py 
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class AudienceQualityMetrics(TypedDict, closed=True):
    relevance_metrics: "capo_cleanroomsml.types.relevance_metrics.RelevanceMetrics"
    """<p>The relevance scores of the generated audience.</p>"""
    recall_metric: NotRequired["float"]
    """<p>The recall score of the generated audience. Recall is the percentage of the most similar users (by default, the most similar 20%) from a sample of the training data that are included in the seed audience by the audience generation job. Values range from 0-1, larger values indicate a better audience. A recall value approximately equal to the maximum bin size indicates that the audience model is equivalent to random selection. </p>"""

recall_metric instance-attribute 

recall_metric: NotRequired[float]

The recall score of the generated audience. Recall is the percentage of the most similar users (by default, the most similar 20%) from a sample of the training data that are included in the seed audience by the audience generation job. Values range from 0-1, larger values indicate a better audience. A recall value approximately equal to the maximum bin size indicates that the audience model is equivalent to random selection.

relevance_metrics instance-attribute 

relevance_metrics: RelevanceMetrics

The relevance scores of the generated audience.