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rod.bustamante7-Bedrock
7-Bedrock
November 22, 2023
Solved

Analytics get best learner

  • November 22, 2023
  • 1 reply
  • 1629 views

Is there a way to find out what the best learner is after training a predictive model? I haven't been able to find it in the documentation or searching the menus/services.

 

Also, for the elite average ensemble, it's stated in the docs the it chooses the best n learners, but it's never mentioned how it decides what the n number is. There's mention that they're chosen based on their predictive score, but how does it determine the cutoff between good and bad learners?

 

It'l be helpful to know a little more about what the black box is doing in order to improve further models.

Best answer by Rocko

When you select the Enemble technique, you also specify the metric by which the learners are compared and selected, e.g. by RMSE.

 

You might also be interested in  https://community.ptc.com/t5/IoT-Tips/ThingWorx-Analytics-Training-Module-6-Part-2/ta-p/843321 starting at 6:05

 

1 reply

C
cmorfin19-Tanzanite
19-Tanzanite
November 22, 2023

Hi @rod.bustamante 

 

For the learners selected, the article https://www.ptc.com/en/support/article/CS258769 gives some information about it.
So from the exported pmml file you should be able to see what and how many learners have been used

 

Hope this helps

Christophe

 

R
rod.bustamante7-BedrockAuthor
7-Bedrock
November 23, 2023

Thanks for your answer Cristophe, I actually haven't seen that article and it answers some of my questions so thank you for that. However it still doesn't tell me how does the ensemble logic chooses the model to be used. I checked some exported pmml files from models that had more than one learner, but it still only chose 1 best and went with that, so it clearly has a cutoff score or something of that matter.

 

Any other material that can answer that?

Rocko
Rocko19-TanzaniteAnswer
19-Tanzanite
November 24, 2023

When you select the Enemble technique, you also specify the metric by which the learners are compared and selected, e.g. by RMSE.

 

You might also be interested in  https://community.ptc.com/t5/IoT-Tips/ThingWorx-Analytics-Training-Module-6-Part-2/ta-p/843321 starting at 6:05

 

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