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The document discusses random forest, an ensemble machine learning technique that builds decision trees on various sub-samples of a dataset and averages the results. It provides examples of random forest, describes how it works by constructing multiple decision trees and outputting the class that is the mode of the classes of the individual trees, and covers features such as its ability to handle large datasets, its accuracy, and applications like classification and regression.

© 2013 ExcelR Solutions. All Rights Reserved
Examples of Random Forest

© 2013 ExcelR Solutions. All Rights Reserved
Random Forest: An example

© 2013 ExcelR Solutions. All Rights Reserved
Random Forest: An example

© 2013 ExcelR Solutions. All Rights Reserved
Random Forest: An example

© 2013 ExcelR Solutions. All Rights Reserved
Random Forest: An example

© 2013 ExcelR Solutions. All Rights Reserved
What is Random Forest?

© 2013 ExcelR Solutions. All Rights Reserved
How Random Forest works?

© 2013 ExcelR Solutions. All Rights Reserved
Features of Random Forest

© 2013 ExcelR Solutions. All Rights Reserved
Features of Random Forest

© 2013 ExcelR Solutions. All Rights Reserved
Applications

© 2013 ExcelR Solutions. All Rights Reserved
Possible algorithms

© 2013 ExcelR Solutions. All Rights Reserved

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1. © 2013 ExcelR Solutions. All Rights Reserved Examples of Random Forest

2. © 2013 ExcelR Solutions. All Rights Reserved Random Forest: An example

3. © 2013 ExcelR Solutions. All Rights Reserved Random Forest: An example

4. © 2013 ExcelR Solutions. All Rights Reserved Random Forest: An example

5. © 2013 ExcelR Solutions. All Rights Reserved Random Forest: An example

6. © 2013 ExcelR Solutions. All Rights Reserved What is Random Forest?

7. © 2013 ExcelR Solutions. All Rights Reserved How Random Forest works?

8. © 2013 ExcelR Solutions. All Rights Reserved Features of Random Forest

9. © 2013 ExcelR Solutions. All Rights Reserved Features of Random Forest

10. © 2013 ExcelR Solutions. All Rights Reserved Applications

11. © 2013 ExcelR Solutions. All Rights Reserved Possible algorithms

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