{"id":139,"date":"2010-03-10T14:27:18","date_gmt":"2010-03-10T14:27:18","guid":{"rendered":"http:\/\/users.aber.ac.uk\/rkj\/test2\/?page_id=139"},"modified":"2023-06-20T08:31:55","modified_gmt":"2023-06-20T08:31:55","slug":"weka","status":"publish","type":"page","link":"https:\/\/users.aber.ac.uk\/rkj\/site\/weka\/","title":{"rendered":"Weka"},"content":{"rendered":"

Many of the fuzzy-rough feature selection measures have been ported to Weka<\/a> – the latest standalone program (i.e. the runnable jar) is here<\/a>, updated June 2023. (Old version Feb 2021 is here<\/a>.) This includes several non-parametric statistical tests<\/strong> in the Experimenter: Mann-Whitney U test, Wilcoxon signed ranks test, and Friedman test with Holm’s post hoc procedure.<\/p>\n

If you want to process larger datasets, then you’ll need to change the Java heap size. An easy way of doing this is to put this file: run.bat<\/a> in the same directory as Weka (above) and double-click it. You can edit this file to increase or decrease the heap size.<\/p>\n

Many of the algorithms can be found in KEEL<\/a> and some have also been ported to Python<\/a> and R<\/a>.<\/p>\n

A worksheet that explains how to use Weka and several of the implemented fuzzy-rough algorithms can be found here<\/a>.<\/p>\n

\"\"<\/a><\/p>\n

FuzzyRoughSubsetEval contains various measures and the option of selecting connectives, similarity measures etc. HillClimber is similar to Weka’s Greedy Stepwise search, but allows search to a degree alpha (for alpha-decision reducts) and search using non-monotonic measures (such as VQRS). AntSearch implements ACO-based search and includes the option of using any subset evaluator for the initial heuristic matrix and subset evaluation. PSOSearch implements search based on binary particle swarm optimization.<\/p>\n

In the Classifiers section, there is now a range of fuzzy-rough classifiers including fuzzy-rough nearest neighbours and QuickRules. There are also several filters for fuzzy-rough instance selection.<\/p>\n","protected":false},"excerpt":{"rendered":"

Many of the fuzzy-rough feature selection measures have been ported to Weka – the latest standalone program (i.e. the runnable jar) is here, updated June 2023. (Old version Feb 2021 is here.) This includes several non-parametric statistical tests in the …<\/p>\n

Weka<\/span> Read More »<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-139","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/users.aber.ac.uk\/rkj\/site\/wp-json\/wp\/v2\/pages\/139","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/users.aber.ac.uk\/rkj\/site\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/users.aber.ac.uk\/rkj\/site\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/users.aber.ac.uk\/rkj\/site\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/users.aber.ac.uk\/rkj\/site\/wp-json\/wp\/v2\/comments?post=139"}],"version-history":[{"count":41,"href":"https:\/\/users.aber.ac.uk\/rkj\/site\/wp-json\/wp\/v2\/pages\/139\/revisions"}],"predecessor-version":[{"id":2113,"href":"https:\/\/users.aber.ac.uk\/rkj\/site\/wp-json\/wp\/v2\/pages\/139\/revisions\/2113"}],"wp:attachment":[{"href":"https:\/\/users.aber.ac.uk\/rkj\/site\/wp-json\/wp\/v2\/media?parent=139"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}