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Exam AWS Certified Machine Learning - Specialty topic 1 question 14 discussion

Exam question from Amazon's AWS Certified Machine Learning - Specialty
Question #: 14
Topic #: 1
[All AWS Certified Machine Learning - Specialty Questions]

A company wants to classify user behavior as either fraudulent or normal. Based on internal research, a Machine Learning Specialist would like to build a binary classifier based on two features: age of account and transaction month. The class distribution for these features is illustrated in the figure provided.

Based on this information, which model would have the HIGHEST accuracy?

  • A. Long short-term memory (LSTM) model with scaled exponential linear unit (SELU)
  • B. Logistic regression
  • C. Support vector machine (SVM) with non-linear kernel
  • D. Single perceptron with tanh activation function
Show Suggested Answer Hide Answer
Suggested Answer: C 🗳️
by cnethers at Feb. 3, 2021, 11:30 a.m.
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mizuakari
Highly Voted 3 years, 3 months ago
Answer is C. SVM sample use case is to put the dimensions into a higher hyperplane that can separates it. Seeing how separable it is, SVM can be used for it.
upvoted 21 times
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MultiCloudIronMan
Most Recent 2 months, 2 weeks ago
Selected Answer: C
SVMs are particularly effective for binary classification tasks and can handle non-linear relationships between features1.
upvoted 2 times
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Mickey321
3 months, 1 week ago
Selected Answer: C
You can use a support vector machine (SVM) when your data has exactly two classes. An SVM classifies data by finding the best hyperplane that separates all data points of one class from those of the other class. The best hyperplane for an SVM means the one with the largest margin between the two classes. Margin means the maximal width of the slab parallel to the hyperplane that has no interior data points.
upvoted 2 times
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kaike_reis
1 year, 5 months ago
Well, C is the correct answer. This example is a classical one to use SVM.
upvoted 1 times
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Valcilio
1 year, 10 months ago
Selected Answer: C
SVM for RBF mode is the answer!
upvoted 1 times
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Broncomailo
2 years, 10 months ago
Selected Answer: C
Answer is C
upvoted 4 times
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Dr_Kiko
3 years, 2 months ago
Textbook C
upvoted 3 times
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halfway
3 years, 2 months ago
C. more reading for using non-linear kernel and separate samples with a hyperplane in a higher dimension space: https://medium.com/pursuitnotes/day-12-kernel-svm-non-linear-svm-5fdefe77836c
upvoted 2 times
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spamicho
3 years, 2 months ago
C seems right
upvoted 1 times
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Juka3lj
3 years, 2 months ago
answer is C
upvoted 2 times
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omar_bahrain
3 years, 3 months ago
Agree. The answer is A. https://www.surveypractice.org/article/2715-using-support-vector-machines-for-survey-research
upvoted 1 times
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cnethers
3 years, 3 months ago
This is a good explanation of SVM https://uk.mathworks.com/help/stats/support-vector-machines-for-binary-classification.html
upvoted 3 times
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