Skip main navigation

Visualizing your data

For successful data mining you must "know your data". Ian Witten explains Weka's data visualization facilities, which can also show classifier errors.

For successful data mining you must “know your data”; examine it in detail in every possible way. Weka’s Visualize panel lets you look at a dataset and select different attributes – preferably numeric ones – for the x- and y-axes. Instances are shown as points, with different colors for different classes. You can sweep out a rectangle and focus the dataset on the points inside it. You can also apply a classifier and vlsualize the errors it makes by plotting the “class” against the “predicted class”.

This article is from the free online

Data Mining with Weka

Created by
FutureLearn - Learning For Life

Reach your personal and professional goals

Unlock access to hundreds of expert online courses and degrees from top universities and educators to gain accredited qualifications and professional CV-building certificates.

Join over 18 million learners to launch, switch or build upon your career, all at your own pace, across a wide range of topic areas.

Start Learning now