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People are falling sick due to Covid 19 and the government wants to vaccinate the citizens who are at highest risk, on priority. A few features that contribute to risk, has been identified alongwith their extent of contribution. The risk factors are to be calculated and measured against a threshold value. All citizens who score beyond this threshold value are to be categorised as Risk-prone.

The data given is as such:

Contribution of features to the disease:

The high-risk people are those whose "weighted-sum of all features" falls above 4.0

FMML team members are required to develop a prototype (preferably, a python function) that works, as soon as possible, and host it on their personal GitHub account. The python function should accept input data, which would be a set of features for citizens of Madagascar, and inform which of those citizens are prone to risk.