Reference no: EM133152635

There is query asked around finding optimum algorithms to detect credit card fraud. Different algorithms are being discussed. However, your colleagues are confused and unable to clearly explain their choice. All eyes turn toward you, being the big data analytics expert you are, your task is to clearly explain the difference between Naïve Bayes, Classification tree and logistic regression to suggest the best algorithm to detect credit card fraud. You walk up to the board and draw a table to compare the algorithms. If these algorithms cannot be used for credit card fraud, you need to provide an appropriate use category for each one of them and suggest a suitable one.

Please draw table in word with the appropriate number of rows and columns to explain your case.