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A Company Wants to Classify User Behavior as Either Fraudulent

question 16

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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. 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? A)  Decision tree B)  Linear support vector machine (SVM)  C)  Naive Bayesian classifier D)  Single Perceptron with sigmoidal activation function Based on this information, which model would have the HIGHEST recall with respect to the fraudulent class?

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Definitions:

Geographic Departmentation

Relatively self-contained units deliver an organization’s products or services in a specific geographic territory.

Multiple Geographic Regions

Refers to the operations or presence of a business, organization, or entity across various distinct physical locations or areas around the world.

Gender Roles

The roles, behaviors, activities, and traits deemed suitable for men and women by a particular society, as constructed through social processes.

Emotional Closeness

The feeling of being intimately connected to another individual, often characterized by feelings of affection, understanding, and shared experiences or thoughts.

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