Weka is a suite of machine learning software for data mining tasks. Weka is used at universities throughout the world to teach data mining processes. It is very similar to much more expensive software and does a great job. Weka is the product of the University of Waikato in New Zealand and was first implemented in its modern form in 1997. It uses the GNU General Public License (GPL). The software is written in the Java™ language and contains a GUI for interacting with data files and producing visual results.
The link to download the WEKA application is: www.cs.waikato.ac.nz/ml/weka/
Please make sure that you have selected the correct system type to download WEKA. When you go to the link above, you will see the long list of different hardware systems and operating system types that you can select and download WEKA.
To find out which system you have:
Please make sure you download the correct version to your system, otherwise will not work. In case you have the wrong version downloaded, just uninstall and install again.
Please check out the following videos for information about downloading WEKA.
Once you finish viewing all the video tutorials and have successfully installed Weka, please open the data file “diabetes.arff” and classify the data using the decision tree algorithm (J48). Your report will include a combination of screenshots and written work. In your report, please include:
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