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Microsoft Exam DP-100 Topic 9 Question 100 Discussion

Actual exam question for Microsoft's DP-100 exam
Question #: 100
Topic #: 9
[All DP-100 Questions]

You are building recurrent neural network to perform a binary classification.

The training loss, validation loss, training accuracy, and validation accuracy of each training epoch has been provided. You need to identify whether the classification model is over fitted.

Which of the following is correct?

Show Suggested Answer Hide Answer
Suggested Answer: B

Contribute your Thoughts:

Frank
14 days ago
Option B is the answer, no doubt about it. It's just like my grandma used to say, 'If the training loss is down and the validation's up, your model's in a rut!'
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Ethan
17 days ago
Hmm, this is a tricky one. I'm going to have to think about it more. Maybe I should ask the professor to give me a hint - I heard they're quite fond of dad jokes.
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Celeste
21 days ago
I agree with Nickolas. Option B is the way to identify overfitting in a binary classification model.
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Jade
3 days ago
I think option B is correct. The training loss decreases while the validation loss increases when training the model.
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Nickolas
24 days ago
Option B seems correct to me. When the model is overfitting, the training loss decreases while the validation loss increases.
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Luis
26 days ago
Why do you think D is the correct answer?
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Jettie
27 days ago
I disagree, I believe the correct answer is D.
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Luis
1 months ago
I think the correct answer is B.
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