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Machine Learning is a subfield of computer science that draws on elements from algorithmic analysis, computational statistics, mathematics, optimization, etc. It is mainly concerned with the use of data to construct models that have high predictive/forecasting ability. Topics include modeling building, applications, theory, etc.
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How significant the variables like "id", "region code" etc are in the predictive modelling?
These variables might be very significant depending on the problem you are dealing with. Some more info on the problem setting would be nice. But let's assume, for example, you are trying to predict m …