[TriPython] Prediction Model. Data Visualization.

[Jeff Heard]

I'd suggest you look at Seaborn. If you're dead-set on visualizing data in
javascript, it might well give you some inspiration to draw from, otherwise
it's a great Python solution for data vis. https://seaborn.pydata.org/ .
I'm not 100% sure what I'd recommend given that much information. Also, it
looks like the mailer scrubbed the images. If you could host the originals
somewhere (GitHub?), it'd help understand what you did better to give a
recommendation.

Are your model outputs continuous or discrete? I understand that you're
looking at "positive/negative" values, but decisions/classifications and
actual model output can be different. Plus the choice of a donut chart to
represent boolean values doesn't make a lot of sense to me, so I thought
that I maybe understood you wrong.


On Tue, Oct 10, 2017 at 3:53 PM, Art <artem.nesterenko at gmail.com> wrote:

>    Good afternoon!
>    I'm reaching out to you guys for a suggestion on the data visualization.
>    I'm wondering if anyone has an experience or an idea of visualizing the
>    volume of multiple model prediction targets.
>    Here is an example of a model with just 2 prediction targets I've
> recently
>    been working on:
>    1. This model provides 2 predictions: target_1 and target_2.**
>    2. I also know the actual result to compare against, so I could see the
>    model accuracy.**
>    3. I've built a confusion matrix to calculate true/false pos/neg (see
>    below). So, there are 4 values.
>    4. I chose donut**chart to visualize these values (see below).
>    [1]Inline image 2**
>
>    My question is what if the model provides more than 2 predictions? Our
>    next model has 7 targets, which is 49 pos and neg values as far as I
>    understand. And I think a**donut**graph is not going to work in this
>    case.**Maybe a bar graph or something else fits better.**
>
>    I'd appreciate any ideas or examples of visualizations that easy to look
>    at and understand.
>    I'm using d3/c3.js for data visualization.
>    Thank you!
>    Art Nestsiarenka
>    email: [2]artem.nesterenko at gmail.com
>
> References
>
>    Visible links
>    2. mailto:artem.nesterenko at gmail.com
>
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> https://mail.python.org/mailman/listinfo/trizpug
> http://tripython.org is the Triangle Python Users Group
>
>
-------------- next part --------------
   I'd suggest you look at Seaborn. If you're dead-set on visualizing data in
   javascript, it might well give you some inspiration to draw from,
   otherwise it's a great Python solution for data
   vis.**[1]https://seaborn.pydata.org/ . I'm not 100% sure what I'd
   recommend given that much information. Also, it looks like the mailer
   scrubbed the images. If you could host the originals somewhere (GitHub?),
   it'd help understand what you did better to give a recommendation.
   Are your model outputs continuous or discrete? I understand that you're
   looking at "positive/negative" values, but decisions/classifications and
   actual model output can be different. Plus the choice of a donut chart to
   represent boolean values doesn't make a lot of sense to me, so I thought
   that I maybe understood you wrong.
   **
   On Tue, Oct 10, 2017 at 3:53 PM, Art <[2]artem.nesterenko at gmail.com>
   wrote:

     ** **Good afternoon!
     ** **I'm reaching out to you guys for a suggestion on the data
     visualization.
     ** **I'm wondering if anyone has an experience or an idea of visualizing
     the
     ** **volume of multiple model prediction targets.
     ** **Here is an example of a model with just 2 prediction targets I've
     recently
     ** **been working on:
     ** **1. This model provides 2 predictions: target_1 and target_2.**
     ** **2. I also know the actual result to compare against, so I could see
     the
     ** **model accuracy.**
     ** **3. I've built a confusion matrix to calculate true/false pos/neg
     (see
     ** **below). So, there are 4 values.
     ** **4. I chose donut**chart to visualize these values (see below).
     ** **[1]Inline image 2**

     ** **My question is what if the model provides more than 2 predictions?
     Our
     ** **next model has 7 targets, which is 49 pos and neg values as far as
     I
     ** **understand. And I think a**donut**graph is not going to work in
     this
     ** **case.**Maybe a bar graph or something else fits better.**

     ** **I'd appreciate any ideas or examples of visualizations that easy to
     look
     ** **at and understand.
     ** **I'm using d3/c3.js for data visualization.
     ** **Thank you!
     ** **Art Nestsiarenka
     ** **email: [2][3]artem.nesterenko at gmail.com

     References

     ** **Visible links
     ** **2. mailto:[4]artem.nesterenko at gmail.com

     _______________________________________________
     TriZPUG mailing list
     [5]TriZPUG at python.org
     [6]https://mail.python.org/mailman/listinfo/trizpug
     [7]http://tripython.org is the Triangle Python Users Group

References

   Visible links
   1. https://seaborn.pydata.org/
   2. mailto:artem.nesterenko at gmail.com
   3. mailto:artem.nesterenko at gmail.com
   4. mailto:artem.nesterenko at gmail.com
   5. mailto:TriZPUG at python.org
   6. https://mail.python.org/mailman/listinfo/trizpug
   7. http://tripython.org/