som_dreval - sig(scalar significance of the rule cm(vector...

Info iconThis preview shows page 1. Sign up to view the full content.

View Full Document Right Arrow Icon
SOM Toolbox Online documentation som_dreval [sig,cm,truex,truey] = som_dreval(sR,D,sigmea,inds1,inds2,andor) SOM_DREVAL Evaluate the significance of the given descriptive rule. [sig,Cm,truex,truey] = som_dreval(cR,D,sigmea,[inds1],[inds2],[andor]) sR (struct) a rule struct, or an array of rule structs D (matrix) the data, of size [dlen x nr] sigmea (string) significance measure ('accuracy','accuracyI','mutuconf'), see definitions below [inds1] (vector) indeces belonging to the group (by default: the whole data set) [inds2] (vector) indeces belonging to the contrast group (by default: the rest of the data set) [andor] (string) 'and' or 'or': which conjunction operator to use to join the rules for each variable
Background image of page 1
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: sig (scalar) significance of the rule cm (vector) length 4, vectorized confusion matrix ([a,c,b,d]: see below) truex (vector) binary vector indicating for each item in the group whether it was true or not truey (vector) binary vector indicating for each item in the contrast group whether it was true or not Descriptive rule significance is measured as the match between the given groups (inds1 = G1, inds2 = G2) and the rule being true or false. G1 G2 --------------- accuracy = (a+d) / (a+b+c+d) true | a | b | |-------------- mutuconf = a*a / ((a+b)(a+c)) false | c | d | --------------- accuracyI = a / (a+b+c) See also SOM_DRSIGNIF, SOM_DRMAKE. [ SOM Toolbox online doc ]...
View Full Document

This note was uploaded on 05/23/2010 for the course CS 245 taught by Professor Dunno during the Spring '10 term at Aarhus Universitet.

Ask a homework question - tutors are online