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Full life cycle PA Implementation

Hi All,


Is there any sample to show complete work flow (full life cycle PA Implementation) which explains ,


1. Data  pre-processing (using correlation matrix, cleanup method)

2. Building the model (Decision Tree or any classification model)

3. Measure performance of model (PSME,  AUC-Area under curve and Confusion Matrix)

Regards,

Naveen

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2 Answers

  • Best Answer
    Sep 06, 2016 at 06:36 AM

    Hi Naveen, could you please let us know what is missing in our answers? In case nothing is missing, could you please set the thread as "Answered"? Thanks in advance, Antoine

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  • Sep 01, 2016 at 11:21 AM

    Hi Naveen,

    To date the closest we have to this is the magnificent set of tutorials built by Andreas here: Tutorials on SAP Predictive Analytics.

    To further clarify, does your question apply to the Automated mode, to the Expert mode or to both?

    Thanks & regards

    Antoine

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    • Hi Naveen,

      You can use the Model Statistics node in Expert mode to evaluate any two-class classification model (AUC, S(KS), Gain%, Lift%, etc.) or regression model (R2, L1, L2, Linf, Error Mean, Error Std Dev, etc.). The component computes different KPIs (as listed in brackerts) from the results of training that can be fed into Model Compare node to automatically pick the best model in a parallel chain.

      Blog post referred by Antoine has more details.

      Regards,

      Jayant

      PS: You can have a look at @Andreas Forster's blog Extending SAP Predictive Analytics Functionality for extensions in R for use in Expert mode.