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Responsiveness settings of adaptive models

Memory settings for adaptive models.

Field

Description

Memory

This setting corresponds to the value that specifies the amount of interaction results history, which are translated in number of cases, the scoring models maintain during predictions. By default, it is set to never discard information (0).

The memory configuration allows you to discard the oldest cases, and it allows you to implement trend detection by creating multiple adaptive models, all triggered by the same proposition but with different memory settings. This setting influences the binning of predictors as behavior changes with new cases being recorded.

  • Low memory values allow the identification of new trends.
  • High memory values provide robust and long-term predictive power.