To potentially improve an AUC score of .62 in a Tableau CRM story, consider the following strategies:
A. Segment the training set: By segmenting the training set, you can ensure that the model trains on more homogeneously grouped data, which might help in improving the model’s predictive accuracy and, consequently, the AUC score.
D. Add more rows of relevant data: Increasing the volume of relevant data can provide the model with more examples to learn from, which might enhance its ability to generalize and improve the AUCscore.
[Reference: Einstein Analytics Model Management, , ]
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