Hi there. I am doing am online fraud classification case where i have 364 variables and 50.000 observations. 300 of these variables are binary product variables thus indicating if the purchase made was of a specific product or not. I am thinking that there must be some information hidden in these variables but i can figure out a good way of dealing with them. Does anyone have an idea? Thanks
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