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!!!
Hi! This works fine for linear models! I was wandering how one should do this for logistic regression, since we want the accuracy and not the MSE. Could you help on this?
God bless you, sir, you just saved one life today!
Thank you very much for making this video! Your explanation was straight-forward, concise, and very easy to understand!
Very well explained , 100k likes.
concept explained nicely in previous video, connected well using the R example. Thanks!
Great trick with Polynomials and MSE's!
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!!!
I found this tutorial extremely helpful, how do you calculate the misclassification rate?
excellent sir..
Hi Abbass!
Excellent tutorial. I have a question: how can I calculate R saquared from LOOCV and K-Fold CV results?
thanks a lot!
Thank your for the useful video. Do you know how to do k-fold cross validation for neural network to predict a parameter in R?
Does the interaction term affect the k -fold cross validation?
hell thanx you for your tutoriel
is there any way to do the LOOCV using SPSS ?
I found that your work was useful. Could you help me how to change the point size of the plot? Thank you so much
Any idea of how to use cross validation with Niave Bayes ?
would you please explain how to apply 10-fold cross-validation in KNN and Random forest?
Why was the K-fold or 10-fold repeated 10 times, I wonder ?
Hey where are you? Why don't you make new videos on R? We miss your teaching a lot. Please come with new video Sir.
Hi! This works fine for linear models! I was wandering how one should do this for logistic regression, since we want the accuracy and not the MSE. Could you help on this?
Hello, Abbass. Can I send you e-mail and ask some questions about cross validation in R? Thanks a lot!