Leave one out and k-fold cross validation| using R| cv.glm | train and test data | prediction error

[@jennyshi1330]

It's a wonderful video, which do me a big favor in time! Thanks!

[@datasciencewithyan4124]

Glad it helps!

[@hecreatescoding]

This was very helpful, thank you!!

[@alessandromorra7797]

It helped me a lot, thank you!

[@jinli1835]

Very impressive!

[@manuelleitner1996]

Thank you very much for the detailed and helpful video. Is there a way to interpret the delta value of the cv.glm() function without comparing it with other models (e.g. as done in your video)? For example, can I simply run the LOOCV on a model and then interpret the delta value (if it's good/bad)? Since the MSE depends on the metric/unit, you can't really derive much from this unstandardized value by itself, right? Thank you in advance!!!

[@gueshmebrahtom3443]

thank you very much , but i encounterd a difficuality to conduct leave one-out sensitivity analysis using R for prevalence or signle proportion meta analysis

[@rafaelpugoni]

How you can do the leave one out cross validation for mixed effects models?

[@melon8419]

Your video helps me a lot. Thanks!!

[@AbdulRahman-r4i5h]

Thanks a ton.

[@datasciencewithyan4124]

Most welcome!

[@jennyshi1330]

But one question that I encountered in R, is it the same script when the outcome is a binomial variable?

[@datasciencewithyan4124]

I didn’t get your question. Do you want to create a 0/1 binary variable? It would be the same.

[@jennyshi1330]

@@datasciencewithyan4124 Thx, I will try🙏

[@jennyshi1330]

Hello, may I ask how to get the sensitivity and specificity using the LOOCV scripts in your video?

[@yuchuxie8170]

Very clear explanation! Learned a lot from your video❥(^_-)

[@a1cswiz1611]

You need to make a new video because your video and audio are out of sync, do you check this stuff before you hit upload?

[@datasciencewithyan4124]

It is not out of sync from my side.