[saintarian]

Thanks for trying us out and for the feedback! I agree that our filters are a little confusing right now and we're working on fixing it. In the meantime, here are a couple of filters you could try:

- To see all cases where the model disagrees with your annotation: Function Output = Disagrees, Desired Output = Any.

- To see the least confident predictions from the model: Function Output = Any, Desired Output = Any, Sort By = Least Confident Prediction.

Your idea us helping you pick a confidence threshold is a good one. We'll get that into our near-term roadmap.

We use a technique called cross-validation to seperate training and test data. We have that documented here: https://www.nyckel.com/docs#cross-validation

[gamerDude]

So, yeah. I could actually use some help on language here. Is Desired Output what I tagged it as?

I think output is confusing me a bit. Output being predicted value? And then desired output is user tagged value?

[saintarian]

Desired Output is what you tagged it as. Function Output is what the model predicted.

We tried to make the lingo developer-friendly. We think of models as functions that transform inputs to outputs. Instead of writing code to do so, as developers usually do, you train the function by providing desired outputs to sample inputs.