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 …
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” …
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. …
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, …
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 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 …
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? …
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 …
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 …
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: …
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 …
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 …