Skip to Content

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)



Add a comment
10|10000 characters needed characters exceeded

Assigned Tags

Related questions

2 Answers

  • Best Answer
    Posted on 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

    Add a comment
    10|10000 characters needed characters exceeded

  • Posted on 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


    Add a comment
    10|10000 characters needed characters exceeded

    • 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.



      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.

Before answering

You should only submit an answer when you are proposing a solution to the poster's problem. If you want the poster to clarify the question or provide more information, please leave a comment instead, requesting additional details. When answering, please include specifics, such as step-by-step instructions, context for the solution, and links to useful resources. Also, please make sure that you answer complies with our Rules of Engagement.
You must be Logged in to submit an answer.

Up to 10 attachments (including images) can be used with a maximum of 1.0 MB each and 10.5 MB total.