MLS-C01 · Question #51
MLS-C01 Question #51: Real Exam Question with Answer & Explanation
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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 recall with respect to the fraudulent class?
Options
- ADecision tree
- BLinear support vector machine (SVM)
- CNaive Bayesian classifier
- DSingle Perceptron with sigmoidal activation function
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