Scoring each point provides a means of automatically identifying those points where the model's performance may be unreliable. For instance, when the model sees a point very differently from what is typical or makes its decision based on a very small number of features. Operationally, these scores can be useful in identifying predictions that need a closer look. See Points & Reliability for additional information.
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