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<smile version="1.0" id="Figure7_21" numsamples="10000" discsamples="10000">
	<nodes>
		<cpt id="Disease">
			<state id="Present" />
			<state id="Absent" />
			<probabilities>0.02 0.98</probabilities>
		</cpt>
		<cpt id="Test_Results">
			<state id="Positive" />
			<state id="Negative" />
			<parents>Disease</parents>
			<probabilities>0.95 0.05 0.005 0.995</probabilities>
		</cpt>
	</nodes>
	<extensions>
		<genie version="1.0" app="GeNIe 2.2.2626.2 1d3af2fc8bc8c80" name="Clemen Figure 7.21" faultnameformat="nodestate">
			<comment>Figure 7.21: A probability tree representing the diagnostic performance of a medical test (this is a Bayesian network equivalent to the probability tree in the figure).\nReference:\nRobert T. Clemen, Making Hard Decisions: An Introduction to Decision Analysis, Second Edition. Duxbury Press, 1996.</comment>
			<node id="Disease">
				<name>Disease</name>
				<interior color="e5f6f7" />
				<outline color="0000bb" />
				<font color="000080" name="Arial" size="10" bold="true" />
				<position>42 22 118 58</position>
			</node>
			<node id="Test_Results">
				<name>Test Results</name>
				<interior color="e5f6f7" />
				<outline color="0000bb" />
				<font color="000080" name="Arial" size="10" bold="true" />
				<position>158 18 242 62</position>
			</node>
			<textbox>
				<caption>Figure 7.21: A probability tree representing the diagnostic performance of a medical test (this is a Bayesian network equivalent to the probability tree in the figure).\nRobert T. Clemen, Making Hard Decisions: An Introduction to Decision Analysis, Second Edition. Duxbury Press, 1996.</caption>
				<font color="000080" name="Arial" size="12" bold="true" />
				<position>22 77 485 172</position>
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