Measuring Predictive Performance of User Models: The Details Matter

UMAP (Adjunct Publication), pp. 197-201, 2017.

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Abstract:

Evaluation of user modeling techniques is often based on the predictive accuracy of models. The quantification of predictive accuracy is done using performance metrics. We show that the choice of a performance metric is important and that even details of metric computation matter. We analyze in detail two commonly used metrics (AUC, RMSE)...More

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