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What are Weka’s other interfaces for?

In the last course, Data Mining with Weka, you got to know the Weka Explorer. It’s great for exploring datasets and learning algorithms! But sometimes you need to do other …

Reflect on your experience

Well over a million instances of this 55-attribute dataset are needed before it becomes too big for Weka to load into memory. Beyond that point you have to use “updateable” …

Prepare for the quiz

Before starting the quiz we suggest you reproduce what Ian did in the video, using the LED24 data in the Command Line Interface. Make a test file with 100,000 instances. …

Working with big data

Some classifiers work incrementally – that is, they update their model as the training dataset comes in, in a single pass through the dataset. When invoked from the command line, …

Using the Command Line

You can do everything the Explorer does (and more) from the command line. Why would you want to – the Explorer is so easy? Well, some people find it faster …

The Knowledge Flow interface

The Knowledge Flow interface is an alternative to the Explorer. You lay out filters, classifiers, evaluators, and visualizers interactively on a 2D canvas and connect them together with different kinds …

Comparing classifiers

How can you reliably compare two classifiers? Experimental results always depend on the random number sequence – might the conclusion be different if you used a different random number seed? …

Growing random numbers from seeds

In the preceding video I talk about changing the random number seed in the Weka Explorer and getting a different result. (This was also done in the previous course, Data …

Exploring the Experimenter

Learn how to use Weka’s Experimenter interface. It makes it easy to run different algorithms on different datasets and compare the results – whether one classifier is better than another …

First, install Weka

Before beginning you should download and install Weka – if it isn’t already installed, which it will be if you have done the previous course Data Mining with Weka. (Note: …

About this course

This course aims to extend your knowledge and experience of practical data mining, following on from Data Mining with Weka. We’ll talk about “big data” and how to deal with …

What will you learn?

This video welcomes you to the course, summarizes what you will learn, and reviews what participants are assumed to know already. You will also learn that New Zealand is at …