Different classifiers are biased towards different kinds of decision. Ian Witten explores the classification boundaries for some example classifiers.
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Different classifiers are biased towards different kinds of decision. You can see this by examining classification boundaries for various machine learning methods trained on a 2D dataset with numeric attributes. Here we use Weka’s Boundary Visualizer to plot boundaries for some example classifiers: OneR, IBk, Naive Bayes, and J48. Characteristic patterns appear.