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SAS A00-240 Exam - Topic 2 Question 1 Discussion

In order to perform honest assessment on a predictive model, what is an acceptable division between training, validation, and testing data?
D) Training: 50% Validation: 50% Testing: 0%
A) Training: 50% Validation: 0% Testing: 50%
B) Training: 100% Validation: 0% Testing: 0%
C) Training: 0% Validation: 100% Testing: 0%

SAS A00-240 Exam - Topic 2 Question 1 Discussion

Actual exam question for SAS's A00-240 exam
Question #: 1
Topic #: 2
[All A00-240 Questions]

In order to perform honest assessment on a predictive model, what is an acceptable division between training, validation, and testing data?

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Suggested Answer: D

by Whitley at May 09, 2022, 03:18 PM

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Tegan
10 months ago
50% training and 50% validation? That doesn't leave room for testing!
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Geraldine
10 months ago
Wait, can you really have 100% training? Sounds off.
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Dorthy
11 months ago
Definitely not A or B, those are just wrong.
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Renato
11 months ago
I think 60-20-20 is better for validation!
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Carlota
11 months ago
Typically, a 70-20-10 split is common.
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Lavina
11 months ago
Option D seems off to me; I thought you needed some testing data to evaluate the model properly.
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Ma
11 months ago
I feel like I've seen questions where the training set is larger, but I can't recall the exact percentages.
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Rory
11 months ago
I think having no validation data at all, like in option B, is definitely not a good practice.
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Lera
11 months ago
I remember that a common split is 70% training, 15% validation, and 15% testing, but I'm not sure if that's what they want here.
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Nickolas
11 months ago
I'm a bit confused on the differences between clearing, purging, and destruction. I'll need to review those concepts again before deciding on the most effective one.
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Marlon
12 months ago
Hmm, I'm not too sure about this one. I'll have to think it through carefully to decide between the options.
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Rebbeca
12 months ago
I'm leaning towards picking HTTPS too, citing its importance in web security, but I'm a bit confused about its relevance for video specifically.
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