Set
the the maximum tolerated squared Pearson correlation coefficient
r2 (with 0 ≤ r2 ≤ 1) between the prediction error on verification
data and the actual target values.
Notes:
- r2=0 means that the prediction error and the target field values are uncorrelated, r2=1 means that the two values are perfectly (positively or negatively) correlated. Therefore, setting an upper threshold for r2 means setting an upper limit for the acceptable systematic error of the model.
- Setting a rSquared threshold is just a hint for the regression algorithm. It cannot be guaranteed that the constructed model really has a rSquared value below that threshold.
Syntax
Method syntax
>>-regSet..DM_setRegRSquared--(--regRSquared--)----------------><
Function syntax
Parameters
- regSet
- A value of type DM_RegSettings
- regRSquared
- A value of type DOUBLE.
Return Value
The return Value is of type DM_RegSettings
- If regRSquared is NULL, regSet is returned. regSet did not change.
- If regRSquared is not of type DOUBLE or is invalid, an error occurs.
- If none of the conditions above apply, the value regSet is returned. The property is set to regRSquared.