CertNexus Exam AIP-210 Topic 6 Question 15 Discussion

Actual exam question for CertNexus's AIP-210 exam

Question #: 15
Topic #: 6

A classifier has been implemented to predict whether or not someone has a specific type of disease. Considering that only 1% of the population in the dataset has this disease, which measures will work the BEST to evaluate this model?

AMean squared error

BPrecision and accuracy

CPrecision and recall

DRecall and explained variance

Show Suggested Answer

Suggested Answer: B

A support-vector machine (SVM) is a supervised learning algorithm that can be used for classification or regression problems. An SVM tries to find an optimal hyperplane that separates the data into different categories or classes. However, sometimes the data is not linearly separable, meaning there is no straight line or plane that can separate them. In such cases, a polynomial kernel can help improve the prediction of the SVM by transforming the data into a higher-dimensional space where it becomes linearly separable. A polynomial kernel is a function that computes the similarity between two data points using a polynomial function of their features.

by Leatha at Apr 10, 2024, 03:25 AM

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Lorrine

1 months ago

I heard the disease is so rare, the model will just predict 'no disease' for everyone and still get 99% accuracy. Talk about a real 'disease' of the model!

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Leota

9 days ago

C: Definitely, accuracy alone can be misleading in this case.

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Lashunda

18 days ago

B: Yeah, with such a rare disease, precision and recall are crucial.

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Troy

19 days ago

A: Precision and recall would be the best measures to evaluate the model.

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Kattie

1 months ago

Ooh, explained variance? That's a new one. I wonder if the developers have been reading too many research papers lately. Stick to the classics, folks.

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Leslee

13 days ago

C: Mean squared error wouldn't be as useful in this case with the imbalanced dataset.

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Glory

29 days ago

B: I agree, we need to focus on those to evaluate the classifier properly.

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Claudio

1 months ago

A: Precision and recall are the best measures for this model.

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Renea

2 months ago

Precision and accuracy, huh? Not a bad choice, but I think recall is going to be the real MVP in this case. Gotta make sure we catch those rare disease cases.

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