weka For Mac

weka is a data mining application developed on the Java platform that includes a set of algorithms that help you deal with specific tasks. The utility can be used to classify data, to apply association rules, to deal with regression or clustering, or to visualize the results.

Within the weka main window, you can quickly choose to activate one of the 4 built-in tools: Explorer, Experimenter, KnowledgeFlow, or Simple CLI. You can also activate the visualization tool: ArffViewer, SQLViewer, or the  Bayes net editor.

In fact, weka also includes other visualization options for your data files: plot, ROC, TreeVisualizer, GraphVisualizer, or Boundaries visualizer. What's more, to help you get started, weka comes with a collection of sample data files.

All of these tools open in separate windows, so you can efficiently analyze a data file by visualizing the content from different perspectives.

The weka application comes with a dedicated book that provides details about machine learning techniques and methods but also includes an extensive usage guide. However, the book has to be purchased online, and you can see more details about it on the project website.

On the other hand, you might also want to check the weka online wiki where you can find answers to frequently asked questions, troubleshooting tips, and other details about the project.

The software archive includes a weka manual where you can learn how to use all the commands in the graphical user interface or the CLI, the type of data that can be processed by the application, and much more.

Weka is a comprehensive software solution that can help you apply machine learning techniques or methods in order to handle data mining tasks. The app comes with an intuitive interface, and helps you visualize your data files using various methods.