My favourite curve is the learning curve ;) - which you are helping with. So, thank you.

I recently tried to explain something of this sort to colleagues as a fishing net trying to catch some kind of medium sized fish. The size of the gaps in the net needed to guarantee you never miss a single fish you were actually trying to catch, happens to be small enough that plenty of other marine life gets caught too. This lowers the quality of the catch and introduce the costs of having to pick through when processing, potentially even ruining some batches when the wrong thing gets scooped up. On the other hand, the size of gap needed that guarantees you never catch anything besides what you want, is large enough that you will also occasionally lose out on the catch of fish you set out for. In my real work example, we can afford to have a bit of junk mixed in that gets picked out, but we can’t afford to miss anything, so I went with the smallest net-gap size I could that still never missed the legitimate targets.

your video are 0% click baits & 100% info! :)

EVERY TIME you choose a useful topic to talk about. thanks.

I freaking love your videos. I have breakfast, lunch and fall asleep watching them

I love these intuitive explanations! thank you

Excellent video, thanks!

Just WOW!

Great video and great thumbnail!

The explanation is very good, thank you

Very nice explanation to see as an econ student!

Good work ❤️

awesome

Could you make a video on useful resources like blogs for inspiration? Also a kaggle series would be 😎 You are the best teacher of advanced statistics topics on YT ♥️

خوب بود. تشکر.

Absolutely love the video! Would be interested to see a code with me on the topic. How does one go about exploring the precision recall frontier? Is it just hyperparameter tuning via grid search, or a more deliberate method I'm not aware of? I have a neural net trained with decent accuracy for what I want, but it deals with stocks so I'd much rather have no signal than a false signal. Not necessarily asking for neural net, could be logistic regression or random forest, just more clarity on the question would be wonderful! Thanks for all you do man!!

Into to Micro Economics

I think marketing cost n market response is a better example for law of diminishing marginal returns. This carrot apple thing doesn't feel too intuitive isn't it? Also, the precision recall curve may not really be a good example of law of diminishing marginal returns too. Precision recall curve's shape will be a function of class balance as well i think

Isn't bell curve more important?

Seems just an old utility maximal problem.

Javieer gonzales tiene orejitas chistositas. se ve que se lo ararran de ollita para plancharselo