🦉 🎤   RapidMiner Wisdom 2020 - CALL FOR SPEAKERS   🦉 🎤
We are inviting all community members to submit proposals to speak at Wisdom 2020 in Boston.
Whether it's a cool RapidMiner trick or a use case implementation, we want to see what you have.
Form link is below and deadline for submissions is November 15. See you in Boston!
"I want to use only when my model have high accuracy"
I use Rapidminer Studio 6
I am developing some accounting model for predicting posting Account for transactions. it is confidential so I don't give more info but the scenario doesn't matter b/c my question is general.
I used x-validation and I got 87 % accuracy as I can see from the PerformanceVector table. I want to use the model but since the application area is sensitive I want to use it only
when it has high accuracy.
what I want :
I give unseen example to the model then :
- the model predicts if its 97% sure ( accurate)
- if not it says I don't know
I hope my question make sense