I am developing a prognostic model to predict an outcome. I have few binary variables with missing values, see below example. Is it better if I create dummy variables out of the below Gender variable in the model or keep it as it is? I have 79 binary variables like this. Please let me know which is best.
Gender M F M M . F M F M F . F . M