14 Limitations of Predictive Analytics
One limitation of Predictive Analytics is the current inability to account for human decision making, even with a substantial data set to work with. In the last Presidential Election in the United States, a variety of analytics sources placed a 70% probability that the outcome of the election would be in favour of Hillary Clinton.
While concluding that the 70% chance was incorrect is somewhat of a misunderstanding of probability, the consistency with which similar predictions were made indicates that there are factors that predictive analytics can not yet comprehend, and as such it should not be relied upon solely in matters such as these.
You can read more about this here: https://www.dataversity.net/limitations-predictive-analytics-lessons-data-scientists/#
While concluding that the 70% chance was incorrect is somewhat of a misunderstanding of probability, the consistency with which similar predictions were made indicates that there are factors that predictive analytics can not yet comprehend, and as such it should not be relied upon solely in matters such as these.
You can read more about this here: https://www.dataversity.net/limitations-predictive-analytics-lessons-data-scientists/#
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