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 (SV
C) Naive Bayesian classifier
D) Single Perceptron with sigmoidal activation function

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?
A) Decision tree 
B) Linear support vector machine (SV
C) Naive Bayesian classifier 
D) Single Perceptron with sigmoidal activation function

Quizplus · Accepted Answer

The Answer of 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 (SV
C) Naive Bayesian classifier 
D) Single Perceptron with sigmoidal activation function

A Company Wants to Classify User Behavior as Either Fraudulent