And stats

The pain of building a ml model that isn't even as accurate as calculating portions below average

Idk, you can do ml but I would just recommend a simple function

Yeah, it answers that to a lot of questions and it can be very frustrating

I have had times when it claims to not know something, but when I phrase the question differently, it suddenly knows the answer

I'm not an expert, I'm sure you will be fine

There is some variation but mostly the mechanics shuts down when the battery gets below a certain voltage

If you want to predict when the voltage gets below that level, then you need the prediction model

There is other regression types like x^2 regression, logarithmic regression and more

I mean you can try to use ml, I'm just trying to save you the trouble of having to implement a model

Ml is typically used when it's too difficult to make predictive models by hand, I think trying to make ml prediction model for this case would be harder and less accurate than just simple linear regression unless I'm missing something

Why not use regression since the data is so simple? get something like percentage confidence levels

Like 95% confident that the beacon won't fail at certain millivolt level

80% confident that the beacon won't fail at certain millivolt level

Etc.

Calculate the average power usage for a beacon and then just do a prediction into the future to see when it's pretty confident that the battery fails

Also scaling the production to industrial scale

Had the same idea when watching a video about superalloys

Pretty neat