Based on this information which model would have the HIGHEST accuracy?

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 (SELL))
B . Logistic regression
C . Support vector machine (SVM) with non-linear kernel
D . Single perceptron with tanh activation function

View Answer

Answer: C

Explanation:

Based on the figure provided, the data is not linearly separable. Therefore, a non-linear model such as SVM with a non-linear kernel would be the best choice. SVMs are particularly effective in high-dimensional spaces and are versatile in that they can be used for both linear and non-linear data. Additionally, SVMs have a high level of accuracy and are less prone to overfitting1

References: 1: https://docs.aws.amazon.com/sagemaker/latest/dg/svm.html