Topic 1 Question 14
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?Long short-term memory (LSTM) model with scaled exponential linear unit (SELU)
Logistic regression
Support vector machine (SVM) with non-linear kernel
Single perceptron with tanh activation function
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Answer is C. SVM sample use case is to put the dimensions into a higher hyperplane that can separates it. Seeing how separable it is, SVM can be used for it.
👍 18mizuakari2021/09/28This is a good explanation of SVM https://uk.mathworks.com/help/stats/support-vector-machines-for-binary-classification.html
👍 3cnethers2021/09/24Textbook C
👍 3Dr_Kiko2021/11/06
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