(Code) K-Fold, Stratified, Leave One Out, Repeated K-Fold Cross Validation Python | Machine Learning

[@aanchaldogra]

Thanks Rachit. Keep it up.

[@rachittoshniwal]

I'm glad you found it useful, Aanchal ! :)

[@preethirathod6751]

You have explained so clearly

[@amitblizer4567]

Very well explained video. Thank you!

[@prashantsharma226]

You got a subscriber today.

[@dreamphoenix]

Great tutorial! Love the time stamps; perfect for learning!!

[@rachittoshniwal]

Ikr! Thanks!

[@jongcheulkim7284]

Thank you. This is very helpful.

[@Chiefempress]

thank you sir
all one wanna know in one video..
:)

[@rachittoshniwal]

Thanks Siva!

[@manishsharma2211]

Thanks man Good revision

[@enriamak]

Thanks friend!! Very well explained.

[@rachittoshniwal]

Hi Enrique, thanks! :)

[@krisghimire1460]

Nice tutorial! keep making..

[@rachittoshniwal]

Thanks a lot!

[@anujsingh5961]

super useful.. Thanks for your effort..

[@rachittoshniwal]

Thanks Anuj!

[@geevanmagar2679]

Whats the shortcut key to get the document in Kfold?

[@rachittoshniwal]

Shift + tab shows first line or two
Shift + tab + tab expands it further

[@heetshah5175]

Thank you so much !

[@rachittoshniwal]

I'm glad it helped, Heet!

[@VR-fh4im]

You are using .loc with train and not with test_set. Being consistent help.

[@ganeshreddypuli3101]

how to calculate precision, geometric mean, f-measure, recall, specificity, AUC??

[@paanshulchowdhary7264]

Hi Rachit Nice content! keep going :)

[@rachittoshniwal]

Thanks Paanshul ! Appreciate that! :)

[@krisghimire1460]

Do you do tutoring ?

[@rachittoshniwal]

Tutoring as in?

[@krisghimire1460]

@@rachittoshniwal Like teach python live class or something..?

[@rachittoshniwal]

@@krisghimire1460 unfortunately, no!

[@webdeveloper3116]

bro,you explained k fold using train and split till 13:00 ,instead of this,why did not you just explain it by showing figure

[@rachittoshniwal]

oh, hey. I have made a dedicated video explaining the workings of different CV techniques here:
ua-cam.com/video/-ttTk9RQl5E/v-deo.html
hope it helps!

[@dikshasharma457]

Sir, in cell no. 23... I'm getting error "__init__() got an unexpected keyword argument 'n_estimators' " and after removing 'n_estimator'and 'random_state's.... I'm getting the error as....... "__init__() missing 1 required positional argument :'net' "
with model name CoxPH....
? Can we apply cross val. With cox proportional hazard?
Please please help🙏

[@rachittoshniwal]

what code do you have in cell 23?

[@dikshasharma457]

Cell 23 in your video
K fold vald.
pipe = Pipeline ([
('ct_step', ct),
('model', CoxPH(n_estimator =10, random_state=0))
])

[@rachittoshniwal]

@@dikshasharma457 make it n_estimators, plural