Discuss SAS A00-240 Exam Topic 3 Question 64

Refer to the lift chart:

At a depth of 0.1, Lift = 3.14. What does this mean?

ASelecting the top 10% of the population scored by the model should result in 3.14 times more events than a random draw of 10%.

BSelecting the observations with a response probability of at least 10% should result in 3.14 times more events than a random draw of 10%.

CSelecting the top 10% of the population scored by the model should result in 3.14 times greater accuracy than a random draw of 10%.

DSelecting the observations with a response probability of at least 10% should result in 3.14 times greater accuracy than a random draw of 10%.

Suggested Answer: A

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32 comments · newest first

Christene 12 months ago

Not sure if I trust that lift value, seems too optimistic.

Marcos 12 months ago

I think it's about the top 10% selection, right?

Naomi 1 year ago

Wait, does that really mean 3.14 times more events? Sounds high!

Felicidad 1 year ago

Totally agree, that's a solid improvement.

Rosina 1 year ago

Lift of 3.14 means better targeting!

Camellia 1 year ago

I vaguely remember that Lift is about comparing model performance to random selection. I think option B sounds familiar, but I need to double-check my notes.

Ilda 1 year ago

I feel like I might be mixing up Lift with accuracy. I need to recall if Lift is about the top percentage or the response probability.

Howard 1 year ago

I remember practicing a similar question where we discussed how Lift relates to the top percentage of predictions. I think it might be option A, but I could be wrong.

Alyce 1 year ago

I think Lift measures how much better our model is at predicting events compared to random guessing, but I'm not sure about the specifics of the options.

Tommy 1 year ago

Okay, based on my understanding, the Asset Repository is used to store container images that are generated and used within the platform. So I believe the correct answer is option D.

Antonio 1 year ago

Hmm, I'm a bit unsure about this one. The question is asking about a specific table, so I'll need to think carefully about the differences between the options provided.

Huey 1 year ago

I'm pretty confident that the correct answer is to relate the Time Sheet Entries to the Work Order Line Item. That seems like the most direct way to track the time spent on each step of the repair process.

Colton 1 year ago

I'm leaning towards the production order, but I recall similar questions where it emphasized the overall plan.

Olive 2 years ago

This is a tricky one, but I think Option B is the way to go. The lift chart is all about improving the model's performance, so it's about the number of events, not accuracy.

Cristy 1 year ago

↳ replying to Olive

Yes, Option B makes sense. It's about maximizing the model's performance by selecting the right observations.

Dannette 1 year ago

↳ replying to Olive

I think you're right. Lift of 3.14 means selecting observations with a response probability of at least 10% will give us 3.14 times more events.

Elvera 1 year ago

↳ replying to Olive

I agree, Option B seems to be the correct choice. It's all about increasing the number of events.

Marlon 2 years ago

I'm leaning towards Option D. Selecting the observations with a 10% response probability should result in 3.14 times greater accuracy compared to a random draw.

Jill 1 year ago

↳ replying to Marlon

Accuracy is key in this scenario. Option D is the way to go for selecting observations with a 10% response probability.

Marylyn 1 year ago

↳ replying to Marlon

Selecting the top 10% of the population scored by the model should result in 3.14 times greater accuracy than a random draw of 10%. That's why Option D is the best choice.

Desmond 1 year ago

↳ replying to Marlon

I agree, Option D seems like the most logical answer. It's important to focus on accuracy when making selections.

Krystal 1 year ago

↳ replying to Marlon

I think Option D is the correct choice. It makes sense to select observations with a 10% response probability for greater accuracy.

Emile 1 year ago

↳ replying to Marlon

I agree with you, Option D seems to be the most accurate. Selecting the observations with a response probability of at least 10% should result in 3.14 times greater accuracy than a random draw of 10%.

Mozell 1 year ago

↳ replying to Marlon

I'm not sure about Option C. Selecting the top 10% of the population scored by the model should result in 3.14 times greater accuracy than a random draw of 10%.

Brigette 1 year ago

↳ replying to Marlon

I disagree, I believe Option B is the right choice. Selecting the observations with a response probability of at least 10% should result in 3.14 times more events than a random draw of 10%.

Erasmo 1 year ago

↳ replying to Marlon

I think Option A is correct. Selecting the top 10% of the population scored by the model should result in 3.14 times more events than a random draw.

Latrice 2 years ago

Option B seems correct. The lift chart is showing the lift at a certain depth, which means the selected observations should have 3.14 times more events than a random draw of the same size.

Cristy 1 year ago

↳ replying to Latrice

Yes, selecting observations with a response probability of at least 10% should result in 3.14 times more events than a random draw.

Jerry 1 year ago

↳ replying to Latrice

I agree, option B is the correct interpretation of the lift at a depth of 0.1.

Erasmo 2 years ago

I'm not sure, but I think it might be C. It sounds like it's about accuracy.

Loreta 2 years ago

I agree with Lenna, A makes sense because it's about selecting the top 10% of the population.

Lenna 2 years ago

I think the answer is A.

SAS A00-240 Exam - Topic 3 Question 64 Discussion