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src/engage/audiences/predictive-traits/using-predictive-traits.md

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@@ -87,7 +87,7 @@ Trait creation depends on the amount of data, but Segment expects predictions to
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{% endfaqitem %}
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{% faqitem What are AUC, log loss, and lift quality? %}
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These data science statistics measure the effectiveness of our predictions when tested against historical data. For more information, refer to [ROC Curve and AUC](https://developers.google.com/machine-learning/crash-course/classification/roc-and-auc){:target="_blank"}, [The Lift Curve in Machine Learning](https://howtolearnmachinelearning.com/articles/the-lift-curve-in-machine-learning/){:target="_blank"}, and [Intuition behind log-loss score](https://towardsdatascience.com/intuition-behind-log-loss-score-4e0c9979680a){:target="_blank"}.
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These data science statistics measure the effectiveness of Segment's predictions when tested against historical data. For more information, refer to [ROC Curve and AUC](https://developers.google.com/machine-learning/crash-course/classification/roc-and-auc){:target="_blank"}, [The Lift Curve in Machine Learning](https://howtolearnmachinelearning.com/articles/the-lift-curve-in-machine-learning/){:target="_blank"}, and [Intuition behind log-loss score](https://towardsdatascience.com/intuition-behind-log-loss-score-4e0c9979680a){:target="_blank"}.
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{% endfaqitem %}
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{% faqitem What is the Prediction Quality Score? %}

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