transformScore: Transform Prediction to Standard Score
In xxzcool/scoremodel: Credit Scoring Modeling Toolbox
Description
Usage
Arguments
Details
Value
See Also
Description
transformScore will transform the predicted probability to standard score by giving base score and scale, then return a integer vector.
Usage
1
transformScore(p, theta0, P0 = 600, PDO = 50)
Arguments
p
A numeric vector, the predicted probability.
theta0
A numeric, the base ratio of bad:good in train.
P0
An integer, the base score, default 600.
PDO
An integer, the scale, default 50.
Details
parameter theta0 must be the bad:good of train at any time.
Value
A integer vector
See Also
Other model prediction functions: LRpredict,
rawPredictFun_df
xxzcool/scoremodel documentation built on May 4, 2019, 10:56 a.m.
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Description Usage Arguments Details Value See Also
Description
transformScore will transform the predicted probability to standard score by giving base score and scale, then return a integer vector.
Usage
1 | transformScore(p, theta0, P0 = 600, PDO = 50)
|
Arguments
p |
A numeric vector, the predicted probability. |
theta0 |
A numeric, the base ratio of bad:good in train. |
P0 |
An integer, the base score, default |
PDO |
An integer, the scale, default |
Details
parameter theta0 must be the bad:good of train at any time.
Value
A integer vector
See Also
Other model prediction functions: LRpredict,
rawPredictFun_df
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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