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AutoWeka specifications

Information


Unique identifier OMICS_22875
Name AutoWeka
Software type Application/Script
Interface Graphical user interface
Restrictions to use None
Input data A file that contains a description of the variables as the header portion of the file.
Input format CSV
Output format TXT
Operating system Unix/Linux, Windows
Computer skills Medium
Version 1.0
Stability Stable
Maintained Yes

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Maintainer


  • person_outline Chanin Nantasenamat <>

Additional information


http://www.mt.mahidol.ac.th/autoweka/AutoWeka-1.0-user-guide.pdf

Publication for AutoWeka

AutoWeka in publications

 (2)
PMCID: 5470814
PMID: 28509865
DOI: 10.3390/s17051138

[…] []. the first option would be to manually test all possible classifiers with several configuration parameters. nevertheless, there is a second approach that allows automating this task using autoweka [], a meta-algorithm that automatically finds the n-best classifiers with its configuration parameters. note that currently autoweka only compares the 82 classifiers integrated by default […]

PMCID: 4743480
PMID: 26862321
DOI: 10.17179/excli2015-374

[…] was calculated using the weka software package version 3.7.11 (witten et al., 2011[]). the latter two classifiers were calculated using an in-house automated data mining software program called autoweka (nantasenamat et al., 2015[]), which was implemented as a python wrapper built on top of weka. the procedures for parameter optimization of each algorithm are illustrated in figure 2. […]


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AutoWeka institution(s)
Center of Data Mining and Biomedical Informatics, Faculty of Medical Technology, Mahidol University, Bangkok, Thailand; Department of Clinical Microbiology and Applied Technology, Faculty of Medical Technology, Mahidol University, Bangkok, Thailand

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