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<scheme description="For supervised problems, where data instances are annotated with class labels, we would like to know which are the most informative features. Rank widget provides a table of features and their informativity scores, and supports manual feature selection. In the workflow, we used it to find the best two features (of initial 79 from brown-selected dataset) and display its scatter plot." title="Feature Ranking" version="2.0">
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		<text font-family="Helvetica" font-size="12" id="0" rect="(242.0, 17.0, 150.0, 60.0)">We imputed the missing values to be able to visualize all the data points.</text>
		<text font-family="Helvetica" font-size="12" id="1" rect="(311.0, 292.0, 218.0, 61.0)">Scatter plot with most informative features. Do they provide a good separation of classes? Open the widget to check this out.</text>
		<text font-family="Helvetica" font-size="12" id="2" rect="(101.0, 256.0, 150.0, 60.0)">Displays the feature scores. We used the widget to select two most informative features.</text>
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