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Visit the Weka Download page and locate a version of Weka suitable for your computer (Windows, Mac or Linux). You may already have Java installed and if not, there are versions of Weka listed on the download page (for Windows) that include Java and will install it for you.
I’m on a Mac myself, and like everything else on Mac, Weka just works out of the box.
I recommend Weka to beginners in machine learning because it lets them focus on learning the process of applied machine learning rather than getting bogged down on the mathematics and the programming. In this post I want to show you how easy it is to load a dataset, run an advanced classification algorithm and review the results.
If you follow along, you will have machine learning results in under 5 minutes, and the knowledge and confidence to go ahead and try more datasets and more algorithms.
This may involve finding it in program launcher or double clicking on the file. The Weka GUI Chooser lets you choose one of the Explorer, Experimenter, Knowledge Explorer and the Simple CLI (command line interface). This GUI lets you load datasets, run classification algorithms.
It also provides other features like data filtering, clustering, association rule extraction and visualization, but we won’t be using these features right now.
It contains 150 instances (rows) and 4 attributes (columns) and a class attribute for the species of iris flower (one of setosa, versicolor, virginica).Weka makes learning applied machine learning easy, efficient and fun.It is a GUI tool that allows you to load datasets, run algorithms and design and run experiments with results statistically robust enough to publish.Click the “ The Zero R algorithm selects the majority class in the dataset (all three species of iris are equally present in the data, so it picks the first one: setosa) and uses that to make all predictions.
If you are interested in machine learning, then I know you can figure out how to download and install software into your own computer.If you need help installing Weka, see the following post that provides step-by-step instructions: Start Weka.