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`
`True Positive
`
`False Positive
`
`FIG. 73
`
`
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`Analytical
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`FIG. 10
`
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`Recursion 1425A
`
`Information
`
`Gain from split
`
`Utility gain
`threshold
`
`1405
`
`
`
`
`— _ _ _ _
`
`solit Si
`
`solit $2
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`solit S;
`
`Split 1410
`
`Recursion
`
`1425A
`
`
`
`
`solit S1
`‘
`
`Tree 1420A
`
`FIG. 14B
`
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`
`Receive query request
`1505
`
` For each
`
`Determine model parameters
`1510
`
`decision tree
`
`Generate a set of splits based on the training
`data
`
`1515
`
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`generated split
`1520
`
`Select split from among the set of splits using an
`exponential mechanism based on information
`gain
`fl
`
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`
`Add the selected split to node of the decision
`tree
`
`1530
`
`Provide the differentially private random forest
`classifier to client
`
`1535
`
`FIG. 15
`
`

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