Amazon
MLS-C01 · Question #103
A company wants to classify user behavior as either fraudulent or normal. Based on internal research, a machine learning specialist will build a binary classifier based on two features: age of…
The correct answer is B. Decision tree. Decision tree produces square boundary, SVM with radial function produces a circular boundary.
Modeling
Question
A company wants to classify user behavior as either fraudulent or normal. Based on internal research, a machine learning specialist will build a binary classifier based on two features: age of account, denoted by x, and transaction month, denoted by y. The class distributions are illustrated in the provided figure. The positive class is portrayed in red, while the negative class is portrayed in black. Which model would have the HIGHEST accuracy?
Exhibit
Options
- ALinear support vector machine (SVM)
- BDecision tree
- CSupport vector machine (SVM) with a radial basis function kernel
- DSingle perceptron with a Tanh activation function
How the community answered
(55 responses)- A2% (1)
- B82% (45)
- C5% (3)
- D11% (6)
Explanation
Decision tree produces square boundary, SVM with radial function produces a circular boundary.
Topics
#Model Selection#Decision Trees#Support Vector Machines#Classification Algorithms
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