WebMay 20, 2016 · Simplification in proof of OLS inconsistency. I'm a little confused right now regarding the LLN "jump" from probability limits to expectations and … WebTo measure the effects of data inconsistencies on model performance, we train a gradient boosted decision tree model to detect fraud. Over a test set of ~200K data points, the model has an AUC score of 0.895. However, over the 336 inconsistent data points in this test set, the model has an AUC score of only 0.786.
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