Calcdifference: Difference between revisions
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Calculate aggregate difference in mode 1 of 2 datasets. | Calculate aggregate difference in mode 1 of 2 datasets. | ||
diffval = sqrt(sum((x1i( : )-x2i( : )).^2))./sqrt(sum(x1i( : ).^2)); | diffval = sqrt(sum((x1i( : )-x2i( : )).^2))./sqrt(sum(x1i( : ).^2)); | ||
====Inputs==== | ====Inputs==== | ||
Revision as of 10:51, 30 August 2017
Purpose
Calculate difference between two datasets.
Synopsis
- [diffval, diffvalstr] = calcdifference(x1,x2)
Description
Calculate aggregate difference in mode 1 of 2 datasets.
diffval = sqrt(sum((x1i( : )-x2i( : )).^2))./sqrt(sum(x1i( : ).^2));
Inputs
- x1 = previously generated classifier model or pred structure,
- x2 = 0 or 1. 0 indicates confusion matrix should be based on self-prediction results, 1 indicates it is based on using cross-
Outputs
- diffval = numeric difference value.
- diffvalstr = string of numeric value.