I would like to use 10x cross validation to evaluate sampling in MATLAB. First I have to consider the attributes and column of the class.
There is a CROSSVAL function in the statistics toolbar , which by default performs 10x cross-confirmation. Check this.
There is another CROSSVALIND feature in the Bioinformatics Toolbox .
There is also an open source Generic-CV tool: http://www.cs.technion.ac.il/~ronbeg/gcv/
xval, , randperm() , 90% ( ) .
Source: https://habr.com/ru/post/1735794/More articles:Why isn't the listShuttle component in richFaces updated? - javaOcaml exception handling for open input channel - matchingIs learning a standard C ++ library a good idea? - c ++Using Valid HTML 4.01 Strictly with Django - html5Connection pool in Java SE? - javaExplosion analysis error ('-', 'foo-bar') [0] (for example) - phpHow can I scroll through each letter in MS Word using VBA? - ms-wordProblems with jQuery, JSON and Apache - jsonVisual Studio cannot find native tool EntityModelCodeGenerator - asp.net-mvcimport strategy in django applications - pythonAll Articles