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