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A Data Scientist received a set of insurance records, each consisting of a record ID, the final outcome among 200 categories, and the date of the final outcome. Some partial information on claim contents is also provided, but only for a few of the 200 categories. For each outcome category, there are hundreds of records distributed over the past 3 years. The Data Scientist wants to predict how many claims to expect in each category from month to month, a few months in advance. What type of machine learning model should be used?
Hindsight Bias
The tendency to believe, after an event has occurred, that one would have predicted or expected the outcome, often leading to an oversimplification of cause and effect.
Ingroup Bias
The tendency to favor one's own group over other groups, often leading to preference and loyalty towards members of the ingroup.
Bystander Effect
A phenomenon in social psychology where people are less inclined to assist a victim if there are other bystanders.
Reciprocity Norm
A social norm that expects individuals to help those who have helped them, fostering cooperation and mutual aid.
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