"Vincent. I'm not sure what the statistical basis behind this method is. Would you advocate jumbling all of the coefficients of a bad linear regression model until it led to an improved best r-square?
-Ralph Winters
"
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Ralph Winters's Discussions
63% of Readers Don't Care About Your Comments
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Started this discussion. Last reply by Ralph Winters Aug 22, 2011.
Minority Rules: Scientists Discover Tipping Point for the Spread of Ideas
Started Jul 28, 2011
Mining patterns in search data with Google Correlate
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Started this discussion. Last reply by Ralph Winters May 26, 2011.
Ralph Winters's Page
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Ralph Winters commented on Vincent Granville's blog post Simple technique to improve poor predictive models
Ralph Winters replied to RockyRambo's discussion Weight statement and oversampling or undersampling
"I think your problem is that you've already oversampled your data and you want to compensate by using the weight statement. I would use the original data and then used the weight statement to perform the…"
Ralph Winters replied to Jason Liu's discussion Does this requirement make sense to you?
"Lynne - This is a modeling contest and the judging criteria can be what ever they want it to be. Take a look at some of the evaluation criteria used by Kaggle and you will see why.
https://www.kaggle.com/wiki/Metrics"
Ralph Winters replied to Amy's discussion What do you think about RExcel?
"I had problems with data being imported correctly directly from Excel, so I gave up on using it. Now, I try to stick to csv files for import.
-Ralph Winters
"
Ralph Winters replied to RockyRambo's discussion Variable Clustering
"Varun, I haven't used varclus for a while, but I would say that you could swap one variable for another if it made better business sense. The 1-R^2 ratio is only a guide. Also, look at the relationship between the 2 candidate variables.…"
Ralph Winters replied to Jason Liu's discussion Does this requirement make sense to you?
"Sounds like your prospect is uninformed about the criteria for a good predictive model. But then again, a lot of clients can be swayed by these model "competitions" (e.g. Netflix), in which the best model is judged via simple…"
Ralph Winters commented on Vincent Granville's blog post The 8 worst predictive modeling techniques
"Among these 8 worst techniques are the 5 BEST techniques (including linear regression). Why? They have stood the test of time and even today can be used to solve most of the worlds statistical problems. If you take the time to learn and…"
Ralph Winters commented on Vincent Granville's blog post Is Algebra Necessary? | New York Times
"Vincent. I think you place too much trust in the machines. Even if you do not know the intricacies of GLM, you still need to utilize the fact that X**2 is typically greater than x*2 when developing or interpreting a statistical model, a…"
Profile Information
- Short Bio:
- Senior level Data Analyst, Data Miner, and Applications Programmer/Developer with over 10 years experience. I have a strong knowledge of BI, OLAP, data analytics, data mining, SAS, forecasting, relational databases, statistical procedures, logistic regression, predictive data modeling, and database marketing. I have worked with many different databases and operating systems.
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Data Analytics,ETL,SAS,Data Mining,Text Mining,BI,Business Intelligence,OLAP,Statistics,Database,Complex SQL Querying
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- http://kdnuggets.com
Ralph Winters's Blog
Odds Are, It's Wrong - Science fails to face the shortcomings of statistics
Interesting article from Science News on the ever increasing misuse of statistical significance. Worth a read...
http://www.sciencenews.org/view/feature/id/57091/title/Odds_Are,_Its_Wrong
http://www.sciencenews.org/view/feature/id/57091/title/Odds_Are,_Its_Wrong
Posted on March 31, 2010 at 8:49pm
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