MLS-C01 · Question #68
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…
The correct answer is C. Support vector machine (SVM) with non-linear kernel. 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.
Question
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?
Options
- ALong short-term memory (LSTM) model with scaled exponential linear unit (SELU)
- BLogistic regression
- CSupport vector machine (SVM) with non-linear kernel
- DSingle perceptron with tanh activation function
How the community answered
(68 responses)- A10% (7)
- B4% (3)
- C66% (45)
- D19% (13)
Explanation
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.
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