This
function returns the estimated standard deviation of a given predicted
value, which has been produced by applying a Regression model. The
returned value is calculated based on accuracy estimations which
are part of the Regression model. These estimations have been established
when the model was trained.
Note:
- Only Transform Regression models contain this information. For all other Regression models, function DM_getPredStdDev always returns NULL.
- The functions DM_getPredStdDev and DM_getPredDev are related as follows: DM_getPredDev(value,0.683) equals DM_getPredStdDev(value) because the standard deviation is the half width of the interval in which the predicted value lies with a probability of 0.683.
- DM_getPredStdDev is similar to DM_getPredValue, but it returns the estimated standard deviation for a predicted value (as it is estimated by the Transform Regression kernel).
Parameters
- results value
- The result of applying a Regression model, returned by the function DM_applyRegModel as data type DM_RegResult
Return value
- If results value is NULL, the return value is NULL.
- If results value does not contain a predicted value or a standard deviation of the prediction around the predicted value, the return value is NULL.
- Otherwise, the return value is the standard deviation of the prediction around the predicted value as data type DOUBLE.