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<scheme description="Cross-validation of, say, logistic regression can expose the data instances which were misclassified. There are six such instances for Iris Dataset and ridge-regularized logistic regression. We can select different types of misclassification in Confusion Matrix and highlight them in the Scatter Plot. No surprise: the misclassified instances are close to the class-bordering regions in the scatter plot projection." title="Where are Misclassifications?" version="2.0">
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		<text font-family="Helvetica" font-size="12" id="0" rect="(266.0, 236.0, 150.0, 72.0)" type="text/plain">Shows different types of misclassifications. For Iris dataset, Iris virginica are confused with versicolor and vice versa.</text>
		<text font-family="Helvetica" font-size="12" id="1" rect="(469.0, 146.0, 150.0, 60.0)" type="text/plain">Misclassifications for Iris datasets are best seen in petal length-petal width projection.</text>
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