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CertNexus AIP-210 Exam - Topic 6 Question 26 Discussion

Actual exam question for CertNexus's AIP-210 exam
Question #: 26
Topic #: 6
[All AIP-210 Questions]

Which of the following is NOT a valid cross-validation method?

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Suggested Answer: D

Stratification is not a valid cross-validation method, but a technique to ensure that each subset of data has the same proportion of classes or labels as the original data. Stratification can be used in conjunction with cross-validation methods such as k-fold or leave-one-out to preserve the class distribution and reduce bias or variance in the validation results. Bootstrapping, k-fold, and leave-one-out are all valid cross-validation methods that use different ways of splitting and resampling the data to estimate the performance of a machine learning model.


by Fatima at Aug 25, 2024, 09:09 AM

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Shaquana
3 months ago
Wait, is stratification really not a valid method? That seems off!
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Evelynn
3 months ago
Leave-one-out is legit, no doubt about it.
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Charisse
4 months ago
I thought stratification was just a way to split data, not a method!
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Reita
4 months ago
K-fold is definitely a valid cross-validation technique.
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In
4 months ago
Bootstrapping is a valid method!
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Roselle
4 months ago
I feel like Stratification is related to ensuring class balance, but I can't recall if it's considered a cross-validation method or not.
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Maile
5 months ago
I practiced a similar question where we had to identify valid methods, and I remember that K-fold is definitely valid.
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Xenia
5 months ago
I think Bootstrapping is more of a resampling technique rather than a cross-validation method, but I could be wrong.
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Karrie
5 months ago
I remember discussing K-fold and Leave-one-out methods in class, but I'm not sure about Stratification being a cross-validation method.
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Janine
5 months ago
Bootstrapping is the only one on this list that's not a true cross-validation method, so that's got to be the correct answer.
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Aliza
5 months ago
Hmm, I'm a little unsure about this one. I know k-fold, leave-one-out, and stratification are all common cross-validation techniques, but I can't remember if bootstrapping is valid or not.
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Glen
5 months ago
I'm pretty sure bootstrapping is a valid cross-validation method, so I'll eliminate that one.
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Natalie
5 months ago
Okay, let me think this through. Bootstrapping involves resampling the data with replacement, which is different from the traditional cross-validation methods. I'll go with that as the answer.
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Willodean
5 months ago
I think commercial filings would be the most likely to have the ownership information I need to solve this case. That's my best guess.
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Lashaunda
1 year ago
Hey, at least they didn't ask about the dreaded 'leave-two-out' method!
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Bernardine
1 year ago
D) Stratification
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Kami
1 year ago
C) Leave-one-out
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Tamra
1 year ago
B) K-fold
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Basilia
1 year ago
A) Bootstrapping
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Pauline
1 year ago
I agree with Arlyne, stratification is a valid cross-validation method. The correct answer is A) Bootstrapping.
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Arlyne
1 year ago
But stratification is a valid method for ensuring balanced class distribution in each fold.
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Victor
1 year ago
Leave-one-out? Nah, I'm keeping all my answers in, thank you very much!
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Shalon
1 year ago
D) Stratification
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Rozella
1 year ago
Haha, that's one way to do it!
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Stephaine
1 year ago
D) Stratification
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Noemi
1 year ago
C) Leave-one-out
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Noel
1 year ago
B) K-fold
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Lamonica
1 year ago
A) Bootstrapping
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Brice
1 year ago
Stratification? Sounds like a fancy word for organizing my notes by topic.
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Delsie
1 year ago
I disagree, I believe the answer is A) Bootstrapping.
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Rebbeca
2 years ago
K-fold? More like K-fold my socks and put them on before the test!
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Arlyne
2 years ago
I think the answer is D) Stratification.
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Lanie
2 years ago
Bootstrapping? That's what I do when I'm running late for the exam!
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Jesusita
1 year ago
C) Leave-one-out
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Nicolette
1 year ago
B) K-fold
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Aracelis
1 year ago
D) Stratification
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Lizette
2 years ago
Haha, that's funny!
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Alline
2 years ago
Haha, that's funny!
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Sherita
2 years ago
A) Bootstrapping
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Dalene
2 years ago
A) Bootstrapping
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