How to approach Data when a given statement turns out to be False

@mohitlearns wrote:

Hello,

I am working on Analytics Vidhya : HR analytics challenge.

One of the assumptions given is that Employees with KPI score >80% will be considered for promotion. But on cross-check the training data its found that employees who don’t match the above KPI criteria have also been promoted in the past.

So am I going to try to remove all such data point/ records /anomalies from the training data set and only include records / data points which meet the KPI criteria >80% for promotion.

Is there any other approach or a better technique to follow. Please suggest.

Thanks
Mohit

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