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A Decision Tree inside out

I'm going now to continue from my first article "A neural Network in SQL Server - case study" where I showed the resulting data after I programmed a neural network (NN) in SQL Server. If you go back there, you might remember that I discovered that I needed first to better understand what variables of the data set were important for the prediction of rain for the next day, so I created a decision tree in Analysis Services and it gave me the idea of what variables to use for the input in the SQL neural network. Later, I also compared the results with the NN created in Analysis Services using the same data source.
In this article I will show you the process to create both, a decision tree and a neural network in Analysis Services, how to understand the information you'll get from them, and how to use it to make decisions or understand the meaning of your data.


Tags: data mining


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