What is the most suitable model for my problem?

I know you would have heard so many people asking this question, but please bear with me.

I had worked on a college project where we just implemented 6 different machine learning models (RF, XGB, GLM, DT, Naive Bayes & GBM) on a health care fraud detection dataset to predict fraud. While interacting with an experienced working professional, he told that this is the stupiedest way to go about a problem. He said we have to choose a model which …

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