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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”.

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Data Mining with Weka

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