Thank you for your video! I have an assignment having the form of a kaggle regression competition and I did not find a lot on stacking (ON R!) so you really save me!
hello sir, i found this video is helpful but can you show how to plot the AUC-ROC of the stacked model? i got a triangle shape of roc graph with AUC 88.9%. not sure if it right
you definitely do not want a triangle shaped ROC graph -- for the plotting purposes, you just get the same true and predicted values from your stacked model.
😂😂😂 "General Pao" haha It is quite tricky to determine what language to use when implementing a given concept; I totally get it. Though, the concept is still the same!
Great video! What if the predictors in each model are different but obviously the outcome is the same?
Excelent video! I'm doing a specialization in big data and it helped me a lot!!
Thanks so much Spencer!
I'm glad I helped ! :)
Thank you for your video! I have an assignment having the form of a kaggle regression competition and I did not find a lot on stacking (ON R!) so you really save me!
how can we ensemble different embeddings of the same dimension and use them?
hello sir, i found this video is helpful but can you show how to plot the AUC-ROC of the stacked model? i got a triangle shape of roc graph with AUC 88.9%. not sure if it right
you definitely do not want a triangle shaped ROC graph -- for the plotting purposes, you just get the same true and predicted values from your stacked model.
@@SpencerPaoHere thank you 😊
can i get a copy of your data set?
The abalone data set? You can check it out here: archive.ics.uci.edu/ml/datasets/Abalone
Can i use RandomForestClassifier as the meta model for the final estimator?
Yep!
For a better general understanding, I suggest you swap to python General Pao
😂😂😂 "General Pao" haha
It is quite tricky to determine what language to use when implementing a given concept; I totally get it. Though, the concept is still the same!
indian guy 'unfold data science' explained it better i think