Number of shares owned is used to predict how active a user is. However, due to system
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Question:
Number of shares owned is used to predict how active a user is. However, due to system errors, the number of shares was 100 times more than actual (for example, actual is 100, data shows 10,000).
a. How will this impact the predicted result?
b. What is the drawback of logistic regression in this case?
c. What would are some other models that can be used to avoid this error?
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