So, where does this leave you?
You have data, you have characteristics, you have objectives, and most importantly you have the domain knowledge. If you consider the following questions:
What is the probability that a student will achieve their potential grades?
What is the probability that a patient will attend an appointment?
What is the probability that a bug fix will fail at the regression test stage?
What is the probability that a customer will renew their gym membership?
What is the probability that a patient’s x-ray will enable diagnosis?
What is the probability that a prospect will respond to a marketing campaign?
These are all questions that you can now start to answer using pi Predicts.
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