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Laura E. Wood Squier
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  • Reston, VA
  • United States
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Laura E. Wood Squier's Discussions

Hype Cycle History on Predictive Analytics

Started Jun 29 0 Replies

So, it is about that time again. For the past few years, Gartner has released its Hype Cycle for Emerging Technologies in July. I’ve enjoyed watching this report document the changes in this market.…Continue

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LUIS GUILLERMO MERCHANCANO LERMA liked Laura E. Wood Squier's discussion Hype Cycle History on Predictive Analytics
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Jun 30
Laura E. Wood Squier posted a discussion

Hype Cycle History on Predictive Analytics

So, it is about that time again. For the past few years, Gartner has released its Hype Cycle for Emerging Technologies in July. I’ve enjoyed watching this report document the changes in this market. I also like to see where the terms that I hear being overused appear on the Hype Cycle: Are they at the “Peak of Inflated Expectations?” Have they fallen into the “Trough of Disillusionment?” Have they fallen off altogether? I’m not a gambler, but it sure would be fun setting odds on the probability…See More
Jun 30
Laura E. Wood Squier commented on William Vorhies's blog post Why R is Bad for You
"Well said! One side point benefit on standardizing on a drag and drop workbench is also the ease of transferring the modeling efforts to other team members.  I have worked with too many clients over the years that have lost work effort of…"
May 18
Laura E. Wood Squier liked William Vorhies's blog post Why R is Bad for You
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Laura E. Wood Squier posted events
Jun 13, 2014
Laura E. Wood Squier posted a blog post

A Tail of 3 Models - The Story of Goodness of Fit with Binary Classification

Before you select the best model based on your favorite goodness of fit statistic – Mean Squared Error, Gini, K-S, AUC, or misclassification rate – STOP!  Model performance metrics are not a one size fits all measure.  As an analyst, selecting the right performance metric might mean the difference between having an exceptionally good result, and having no result.   The classic example:  There is only a 3% prevalence of the event of interest in my data. I can build a model that is 97% accurate…See More
Oct 24, 2013

Profile Information

Field of Expertise
Analytics
Professional Status
Manager
Years of Experience:
18
Your Company:
SAS
Interests:
Networking, Recruiting
What is your Favorite Data Mining or Analytical Website?
http://Kdnuggets

Laura E. Wood Squier's Blog

A Tail of 3 Models - The Story of Goodness of Fit with Binary Classification

Posted on October 24, 2013 at 8:00am 0 Comments

Before you select the best model based on your favorite goodness of fit statistic – Mean Squared Error, Gini, K-S, AUC, or misclassification rate – STOP!  Model performance metrics are not a one size fits all measure.  As an analyst, selecting the right performance metric might mean the difference between having an exceptionally good result, and having no result.   

The classic example:  There is only a 3% prevalence of the event of interest in my…

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