Home About Us Contact Blog

 What's New Products Buy Now Downloads Forum GeneXproTools Online Guide Learn how to use the 5 modeling platforms of GeneXproTools with the Online Guide

 Last update: February 19, 2014

Root Relative Squared Error

The root relative squared error (RRSE) is relative to what it would have been if a simple predictor had been used. More specifically, this simple predictor is just the average of the actual values. Thus, the relative squared error takes the total squared error and normalizes it by dividing by the total squared error of the simple predictor. By taking the square root of the relative squared error one reduces the error to the same dimensions as the quantity being predicted.

Mathematically, the root relative squared error Ei of an individual model i is evaluated by the equation:

where P(ij) is the value predicted by the individual model i for record j (out of n records); Tj is the target value for record j; andis given by the formula:

For a perfect fit, the numerator is equal to 0 and Ei = 0. So, the Ei index ranges from 0 to infinity, with 0 corresponding to the ideal.

See Also:

Related Tutorials:

Related Videos:

 Leave Feedback Please enter the number below using the combo boxes before sending your feedback. 3 8 4 0 1 2 3 4 5 6 7 8 9   0 1 2 3 4 5 6 7 8 9   0 1 2 3 4 5 6 7 8 9

Time Limited Trial

Try GeneXproTools for free for 30 days!

Released February 19, 2014

Last update: 5.0.3883

New Entries

Add-ons − GeneXproServer

 Subscribe to the GEP-List

 3 8 4 0 1 2 3 4 5 6 7 8 9   0 1 2 3 4 5 6 7 8 9   0 1 2 3 4 5 6 7 8 9

 Home | What's New | Products | Buy Now | Downloads | Quick Tour | Support | Contact Us | About Gepsoft | Sign Up Forum | Blog | Videos | Tutorials | Server Knowledge Base | Logistic Regression Guide | Terms of Use | Privacy & Cookies

Copyright (c) 2000-2014 Gepsoft Ltd. All rights reserved.