求大牛指教 “How do you deal with missing data?”# DataSciences - 数据科学
a*y
1 楼
不sure 怎么回答这个题，求大牛指教。
要不要把missing value拿median/average补上？
十分感谢！
要不要把missing value拿median/average补上？
十分感谢！
s*h
2 楼
My answers for my onsite interview:
1. Do as you did
2. Assuming some distributions hidden in your missing, then filling the
missing value accordingly
3. If we can justify the missing at random (or complete at random, but it is
too optimistic), try several imputation methods like multiple imputation
methods. Basic idea is to assume some dependency relationship with other
predictors, using them to predict the missings.
For information, see Rubin's paper about Multiple imputation.
1. Do as you did
2. Assuming some distributions hidden in your missing, then filling the
missing value accordingly
3. If we can justify the missing at random (or complete at random, but it is
too optimistic), try several imputation methods like multiple imputation
methods. Basic idea is to assume some dependency relationship with other
predictors, using them to predict the missings.
For information, see Rubin's paper about Multiple imputation.
s*a
3 楼
不可以用avg补。除非是random。但是你一般又不知道他是不是random的。
a*g
4 楼
em算法是个选择吧
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