"I assume you use logistic regression post applying WOE transformation(?)!
X: Independent Variable
Y: Binary Dependent Variable
T(.): Transformation function
The fundamental assumption in logistic regression is 'X' and…"
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Sandeep Sunkara's Discussions
Scaling the PD wrt Performance Period
Started Jan 5, 2012 0 Replies 0 Likes
I have built a PD model with the "Ever 90+ in 12 months of Performance Period" as Bad. Now I would like to derive PD for 6 months from the above, still Bad being "Ever 90+" but in 6 months of…Continue
SAS Program
Started Jun 10, 2011 0 Replies 0 Likes
DATA NEW;ARRAY A[10] A1-A10;ARRAY B[10] B1-B10;DO I = 1 TO 10;A[I] = ROUND(RANUNI(2));END;DO I = 1 TO 10;B[I] = MAX(OF A[1]-A[I]);END;RUN; I get an error using MAX function with arrays, any idea on…Continue
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Sandeep Sunkara posted a discussionScaling the PD wrt Performance Period
I have built a PD model with the "Ever 90+ in 12 months of Performance Period" as Bad. Now I would like to derive PD for 6 months from the above, still Bad being "Ever 90+" but in 6 months of performance.PD_90P_12 = Probability of becoming 90+ in next 12 months;PD_90P_06 = f(PD_90P_12) = Probability of becoming 90+ in next 06 months;How will I get the function "f";Any inputs? most welcome and thanks a lot!!See More
Sandeep Sunkara commented on Vincent Granville's blog post Identifying the number of clusters: finally a solution"There is Cubic Clustering Criterion (CCC) available in PROC CLUSTER which helps in deciding the number of clusters.
@Vincent: I am little confused in going up to 4th derivative, since the plot is, when you smooth it, a second degree curve,…"
Sandeep Sunkara replied to Erdem Akkaş's discussion Effect of changes in attribute values"Assuming no inter-dependency among the independent variables, checkout the correlations between target and each characteristic in both earlier time frame and current time frame. The variables that have drastic change in correlation over both the…"
Sandeep Sunkara replied to Panchanana M.R.L.N.'s discussion Validation of Cluster"Hi Panchanana,
For your first question,
Variable Reduction for Numerical Variables can be done in two ways:
1. Before the Cluster Analysis(which again can be done in two ways):
(a) Use top N(choose as per the variation explained by the…"
Sandeep Sunkara posted a discussionSAS Program
DATA NEW;ARRAY A[10] A1-A10;ARRAY B[10] B1-B10;DO I = 1 TO 10;A[I] = ROUND(RANUNI(2));END;DO I = 1 TO 10;B[I] = MAX(OF A[1]-A[I]);END;RUN; I get an error using MAX function with arrays, any idea on what is wrong in the above code?See More
Sandeep Sunkara replied to Hari's discussion Cut off point in logistic regression"Yes it is.
If you have event rate of 10%, then the predicted probabilities will cluster around 0.1 and hence the cut-off point will also be arount 0.1.
If you have event rate of 70%, then the predicted probabilities will cluster around 0.7 and hence…"
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