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Added surrogate example to readme.
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How to handle multiple categorical and continuous features on a real-life data set.
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Uses the Census Income data set.
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### [Predicting Income Based on Census Data Using Random Decision Forest With Surrogate Decision Tree](https://github.com/aosama/MachineLearningSamples/blob/master/src/main/scala/org/ibrahim/ezmachinelearning/RFWithSurrogateCensusIncomeExample.scala)
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How to handle multiple categorical and continuous features on a real-life data set.
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Uses the Census Income data set.
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## Data Sets References
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#### [Census Income DataSet](http://archive.ics.uci.edu/ml/datasets/Census+Income)

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