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MyWeka
MyWeka is a simple application using the Machine Learning Weka library.
MyWeka has 5 classifiers: LogitBoost, Bagging, RandomForest, NaiveBayes and J48.
MyWeka offers 2 ways to test: Supplied test set and Cross-validation.
File Format: "ARFF".
The results obtained in a computer using Weka are equal to those obtained in MyWeka.
Developper at Department of Applied Mathematics and Analysis, University of Barcelona.
Upcoming improvements: classification for large files, adding more classifiers.
Quoi de neuf dans la dernière version 1.1
Last updated on Jan 31, 2016
Minor bug fixes and improvements. Install or update to the newest version to check it out!
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MyWeka
1.1 by Eduardo González
Jan 31, 2016