Potential Data Leakage Alert

Indicates that a value in an explanatory variable always results in the same outcome value, which can indicate data leakage. Data leakage occurs when your training data contains the information that you’re trying to predict. Leakage results in models that score optimistically high in training but perform less accurately on live data. To produce more realistic models that perform better at predicting outcomes, investigate and remove leaky predictor variables from your model.

Note
Note Einstein Discovery stories are now models. We wish we could snap our fingers to update the name everywhere, but you can expect to see the previous name in a few places until we replace it.

Actions to Consider

Investigate the variable for data leakage. If found, exclude the variable from the model.

Detection Methodology

Einstein Discovery automatically alerts you when it detects that an explanatory variable always leads to the same outcome.