Algorithm to predict the customers who might return in the future for a new purchase.

Takes as input a .csv file with the following columns in the following sequence:

['accountName','saleDate','totaltransactions','avgprice','lastprice','differentip','lifespan','number_of_week','weekend','lastmethod','country','orderfreq','return']

Input Ex: {"url":"data://wchung/sales/sales_train.csv"}

and gives as output a data frame with the customer accountnames and their attributes who are likely to convert in the near future in returning customers.