About BearerofSAS

BearerofSAS · ‎04-11-2020

I want to understand user profiles of customers who have a credit card and would like to see if different customers have similar profiles. I connected the Transform variable node to my dataset, and run it. Then I go to view the results and get the following 13 interval variables out of 14 that were transformed. However, Age variable was not transformed by the transform node. I think this might be because it was already approximately symmetrical originally or it may make the target variable not generalisable if age got transformed. But I am not sure. This is just what I am thinking of why age was not transformed. Any further clarification is greatly appreciated. And I'm pretty sure the software has chosen the transformations for me, but I could be wrong. Hopefully, this makes sense.

BearerofSAS · ‎04-11-2020

No worries, I shall ask in another forum if I can't figure it out myself, thank you. However, it is SAS Enterprise Miner 13.2

BearerofSAS · ‎04-11-2020

As far as I understand, we transform variables to make them more symmetrical/linear relationship with the target variable and this can only be on interval data. But why might SAS choose not to transform a variable as opposed to transforming other explanatory variables (bearing in mind if they are all interval level data types)? Could it be because they might be already approximately symmetrical or the variable potentially causing overfitting? Hence they aren't transformed? Cheers

BearerofSAS · ‎04-11-2020

How do you change the vertical scale on the plots?

BearerofSAS · ‎04-04-2020

Hi Paige! I am following tutorials given out by my tutor, they mention that all the interval variables are skewed to the right. such as Age of oldest trade line, Number of major derogatory reports, Number of recent credit inquiries, Number of trade lines, Debt income ratio. Value of current property, Number of delinquent trade lines, Amount due on existing mortgage and Years on current job. And then they go on to say the most extreme one's are reversed J-shaped. Such as Number of delinquent trade lines and Number of Major derogatory reports, when it comes to describing the shape of the distribution. Sorry, this may just be their professional opinion rather than being a fact. I feel you are implying its open to one's interpretation? (provided it can be justified by the individual)

BearerofSAS · ‎04-03-2020

I get a little bit confused when it comes to distinguishing the differences between them, For instance, J-shape and reverse j-shape just seem like a variant of negatively skewed and positively skewed. What was a bit surprising to me was the fact that "number of major derogatory reports" and "the number of delinquent trade lines" plots are actually reverse j-shape distributions. Is this because they are extremely skewed on one end? "years on current job" is positively skewed. But could you say this is reverse j-shaped also? please see file attached Cheers

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Re: Why would SAS not Transform a variable?

Re: What’s the differences between positively skewed, reverse j-shape,...

Why would SAS not Transform a variable?

Re: What’s the differences between positively skewed, reverse j-shape,...

Re: What’s the differences between positively skewed, reverse j-shape,...

What’s the differences between positively skewed, reverse j-shape, neg...

Re: Why would SAS not Transform a variable?

Re: What’s the differences between positively skewed, reverse j-shape,...

Why would SAS not Transform a variable?

Re: What’s the differences between positively skewed, reverse j-shape,...

Re: What’s the differences between positively skewed, reverse j-shape,...

What’s the differences between positively skewed, reverse j-shape, neg...