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Try to implement the Bayes or Fisher algorithm. They are based on statistical data and have a non-cumbersome implementation. If you want something more complicated, but more interesting, then pay attention to neural networks based on the Rosenblatt perceptron.
Here is a well-written example of classification based on Bayes' theorem. In this example, the email is classified as "spam" or "not spam" in your case, it should go through the possible answers and classify the answer as "suitable" or "not suitable".
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