crossValidation

[@farbodAprin]

I have seen 5 videos about cross validation, this is the most clear and understandable one. Thanks for great job !

[@jiakedjzhou1899]

This is so simple (with visual aid), yet elegant. Thank you so much for this video.

[@MaxRoth]

Thanks! This is really clearly explained! Great examples!

[@andreiherasimau7800]

Jeff, you are the guy! Vey helpful explanation of such an interesting topic.

[@axisgraf]

very clearly explained. Thanks so much. You are a good teacher!

[@RaynorsProphet]

You did what my lecturer could not. Thanks for explaining it so well :)

[@Valentin-oc5nh]

what do you do with the multiple error rates for the k-fold cross validation? like how do you make the estimation? or you just add the error rates together and compare the models?

[@yangle8952]

can you explain 12:05 a bit more. Why the ploy in the middle only has one blue dot? and why the one to its right has three? Are they not same plot?

[@jonathannavarrete3744]

Left Plot: training data to create the classification rules. Middle Plot: test data. Right Plot: True classification.

[@raghurambaisani7504]

Awesome one sir

[@MattCamp]

why can't college professors break this stuff down like you! Thanks!

[@MrPersistent16]

they get more students if you flunk :/

[@SteffanBoodhoo]

very well done

[@김민경-d9g4s]

The best

[@oliveryoung6501]

fuck this is good