KCM Cross Validation Values

From LearnLab
Revision as of 19:57, 12 May 2010 by Hcheng (talk | contribs) (Notes/Comments)
Jump to: navigation, search

Status: Prioritization Needed

User Story

As a [type of user], I want to [perform some task] so that I can [achieve some goal].

Notes/Comments

  • I would like to provide DataShop with an algorithm to calculate cross validation values for each KC Model. -- Hui Cheng, 5/10/2010
    • Only on KCMs with mapping type of Step-to-KC
    • Need to store two numbers, the cross validation number (RMSE: decimal between 0-1) and the number of rows.
  • There are also a few changes to the current datashop interface
    • Add number of parameters for BIC an AIC
    • Change the way opportunity numbers are counted. This will affect Learning Curve--LFA Values.



See complete DataShop Feature Wish List.