(Part 6 (of 11) of the Top 10 Data Mining Mistakes, drawn from the Handbook of Statistical Analysis and Data Mining Applications) -John Elder (firstname.lastname@example.org) I often evaluate promising investment systems, for possible implementation. In one, a Ph.D. consultant, with a couple of books under his belt, had prepared a neural network model for a Chicago bank to forecast interest rate changes. The model was 95% accurate – astonishing given the importance of such rates for much of the economy. The bank board was cautiously ecstatic, and sought a second opinion. My colleagues found that a version of the output
To view this content
OR subscribe for free
Already receive the Predictive Analytics Times emails?
Click here to complete this one-time subscription upgrade
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.