How can we understand if a customer will be a good or bad payer with the AI? tutorial

medium economic 1 day

Today we are going to understand how can we use a Naive Bayes algorithm (producted by our team) for detecting if a customer is a bad or a good payer.

This algorithm could predict if a given customer is a bad or good payer from the data history of the classification. The data history represents the input of the algorithm. More the input is detailed and more efficiently is the predict.

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