weka


Also found in: Thesaurus, Acronyms, Wikipedia.

we·ka

 (wē′kə, wā′-)
n.
A flightless rail (Gallirallus australis) of New Zealand, having mottled brown plumage and short legs.

[Maori.]
American Heritage® Dictionary of the English Language, Fifth Edition. Copyright © 2016 by Houghton Mifflin Harcourt Publishing Company. Published by Houghton Mifflin Harcourt Publishing Company. All rights reserved.

weka

(ˈweɪkə; ˈwiːkə)
n
(Animals) any flightless New Zealand rail of the genus Gallirallus, having a mottled brown plumage and rudimentary wings. Also: Māori hen or wood hen
[C19: from Māori, of imitative origin]
Collins English Dictionary – Complete and Unabridged, 12th Edition 2014 © HarperCollins Publishers 1991, 1994, 1998, 2000, 2003, 2006, 2007, 2009, 2011, 2014
ThesaurusAntonymsRelated WordsSynonymsLegend:
Noun1.weka - flightless New Zealand rail of thievish disposition having short wings each with a spur used in fightingweka - flightless New Zealand rail of thievish disposition having short wings each with a spur used in fighting
rail - any of numerous widely distributed small wading birds of the family Rallidae having short wings and very long toes for running on soft mud
Gallirallus, genus Gallirallus - rails of New Zealand
Based on WordNet 3.0, Farlex clipart collection. © 2003-2012 Princeton University, Farlex Inc.
References in periodicals archive ?
On the WEKA software [7] we ran the algorithm Neural Networks by changing each time the number of neurons in the hidden layer in Weka changing the Hidden layer attribute that describes the number and size of hidden layers
In the last step, this fused dataset has been deployed to different machine vision classifiers, that is, artificial neural network (MLP), Naive Bayes (NB), Random Forest (RF), and J48; here J48 is the implementation of C4.5 algorithm of decision tree in Weka software.
Zimmer, "BioWeka: extending the Weka framework for bioinformatics," Bioinformatics, vol.
Upon processing the data, the Weka tool generates a confusion matrix to verify the distribution of errors made by the classifier, where the VP (true positives) are instances correctly recognized by the system; said value corresponds to the proportion examples classified as class x, from among all the examples that truly have class x, that is, what amount of the class has been captured.
Foram utilizados como ferramentas para levantamento, manuseio e execucao da pesquisa a linguagem Structured Query Language (SQL), a planilha eletronica MS--Excel e o software de dominio publico de KDD denominado Waikato Environmentfor Knowledge Analysis (Weka) (Witten, Frank, & Hall, 2011).
The results obtained by POA and WEKA are shown in Table VII and Table VIII.