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 accuracy?

A . Long short-term memory (LSTM) model with scaled exponential linear unit (SELU)

B . Logistic regression

C . Support vector machine (SVM) with non-linear kernel

D . Single perceptron with tanh activation function

**Answer: **B

Explanation:

Reference: https://machinelearningmastery.com/logistic-regression-for-machine-learning/

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