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Sensitivity of models

Updated on April 5, 2022

Model sensitivity is the correlation between the behavior predicted by the predictive model and the behavior predicted by one of its predictors.

The Sensitivity tab of o a model view displays the correlation of predictors with the predicted behavior as a bar chart. The level of correlation of the predictors displays on the right side:

  • If the levels are very low (below 0.01), you need to decrease the size of the models by adjusting the number of groups and removing the groups that contain the low correlation predictors.
  • If the levels are high (above 0.1), you need to increase the size of the models by adjusting the number of groups and increasing the grouping level.
For more information, see Grouping predictors.

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