Predictive Analytics Times
Predictive Analytics Times
EXCLUSIVE HIGHLIGHTS
Prediction in the Public Sector: Why the Government Needs Predictive Analytics
 Originally published by Analytics Magazine This...
Analytics in the Brave New Customer Experience World
 Mobile marketing technology offers opportunities to...
Wise Practitioner – Predictive Analytics Interview Series: Tauseef Rahman at Mercer
 In anticipation of his upcoming conference...
Why Your Analytics Must Ask the Data “Good” Questions — Ones that Reduce Data
 The problem of monetizing Big Data,...
SHARE THIS:

4 years ago
It is a Mistake to…. Extrapolate

 (Part 8 (of 11) of the Top 10 Data Mining Mistakes, drawn from the Handbook of Statistical Analysis and Data Mining Applications) Modeling “connects the dots” between known cases to build up a plausible estimate of what will happen in related, but unseen, locations in data space. Obviously, models – and especially nonlinear ones — are very unreliable outside the bounds of any known data. (Boundary checks are the very minimum protection against “over-answering”, as discussed in the next installment.) But, there are other types of extrapolations that are equally dangerous. We tend to learn too much from our first

To view this content
Login OR subscribe for free

Already receive the Predictive Analytics Times emails?
As of January 2014, the Predictive Analytics Times now requires legacy email subscribers to upgrade their subscription - one time only - in order to attain a password-protected login and gain complete access.

Click here to complete this one-time subscription upgrade

  

Existing Users Log In
   
New User Registration
*Required field

Comments are closed.