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MLS-C01 · Question #103

MLS-C01 Question #103: Real Exam Question with Answer & Explanation

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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?

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

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Topics

#Model Selection#Decision Trees#Support Vector Machines#Classification Algorithms
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