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  • 1.  how to view individual predictions using Watson Analytics

    Posted 02/28/19 02:19 PM
    Hi,

    I am a neophyte using this software. Once you have a model developed with Watson Analytics, how can I see how the model would classify backwards each case in my dataset?  Can I save the model and apply it to a different test set to classify unknowns?

    Thank you, Alberto

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    Alberto Marchevsky
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    #PlanningAnalyticswithWatson


  • 2.  RE: how to view individual predictions using Watson Analytics

    Posted 02/28/19 10:43 PM
    Hi Alberto,

    I am not sure I fully understand what is being asked but it seems like you are interested in creating a 'template' that you can use for multiple data sets, i.e. swap in a new data set and apply the template, is that correct?   Standard 'Discoveries' in WA are tied to a single data set. The data set can't be swapped out for another one. 

    You  would need to use 'Expert Storybooks'. These can either be built by combining several discoveries into a single 'Storybook' yourself, or downloaded from the Analytics Exchange where you will find pre-built storybooks created by other users to accomplish common business tasks.   You could then apply your own data to these templates. Expert storybooks are the only way to build a template and apply different data sets.

    Here is some documentation (you will need to be signed in to WA to access):
    https://watson.analytics.ibmcloud.com/wa_docs/help/#/SS4QC9/com.ibm.solutions.wa_an_overview.2.0.0.doc/wa_storybook_intro.html

    As for the question regarding how to see how a model would classify backwards against the data, I am not too clear on what is being asked. You may just want to apply opposite sort order on the visualization. If it is a predictive visualization (Decision rules of a decision tree, for example), you may want to flip the visualization by tapping the opposite arrow in the top left hand corner to show the inverse correlation.

    I hope this helps. I would definitely encourage you to open a support case where someone from the support team will be able to assist with more specific issues.

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    Shannon Q
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