[P] Testing in Machine Learning & Biases
I’m looking to get some inputs from professional engineers in Machine Learning about how they test their models that *might* enter production.
I ran a survey in my own network before through a Twitter poll, and found out that over 70% of respondents were not fully confident in the abilities of their models, with 33% of all respondents saying that they are not confident in the abilities of their models at all.
Now I’d like to find out why and how to solve this. I prepared this survey and it would mean a lot if you could take 2 minutes to fill this one out.
I’m looking to write an article about ML testing methods based on those, and will be sure to share that here (and to anyone who requests it).