I'm solving a ML problem statement where there are around 40k records in the dataset. A dependent variable is given in the question (There are many independent variables). But there are some 2k records in the dependent variable that have missing values. - How do I solve this problem? Should I be excluding these records? - Is imputing the missing values a good method of solving this problem? Wouldn't that give me inaccurate values as the dependent variable is dependent on a number of variables? I'm not sure.
Can anyone please help?