I am building a classification model based on a relatively small dataset. I have some missing values on the different attributes that I have. I cannot afford deleting any of the record that has missing values so I want to replace them.
I made some general calculation to get some understand of the disruption of the data and to help me choose the value which would replace the missing values,
Assume that I have attribute A with the following:
mean = 121.68676278
std = 30.51562426
median = 117
min = 44
max = 199
[in all the calculations, I ignored the missing values]
If I were to choose between mean, median, or mode which one would be most suitable?
and there is something else which was very confusing for me, the std is very large and when I asked about it I was told that this could be normal based on the range of my data but I did not understand what that means?