@taylan wrote:
Hello everyone,
I have a dataset of an insurance company for my data science class project. My ultimate business objective in this project is to sell more insurances to existing customers/customer segments.
Firstly, I want to cluster my customers through k-mean model with RFM scores then use apriori algorithm to find association rules among this clusters. Later, I can find which customer/customer segments I can sell more. Yet my teacher want me to test my prediction and he said that since the policies are repeated every year you can not split your data in terms of last 3 months is test data and the rest of the 9 months is train data. To sum up, he wants me to test my prediction in an accurate way. How can i test my data in this specific case?
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