Lead Data Scientist Question:
Tell us why is resampling done?
Answer:
Resampling is done in any of these cases:
☛ Estimating the accuracy of sample statistics by using subsets of accessible data or drawing randomly with replacement from a set of data points
☛ Substituting labels on data points when performing significance tests
☛ Validating models by using random subsets (bootstrapping, cross validation)
☛ Estimating the accuracy of sample statistics by using subsets of accessible data or drawing randomly with replacement from a set of data points
☛ Substituting labels on data points when performing significance tests
☛ Validating models by using random subsets (bootstrapping, cross validation)
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