Closed alistairewj closed 6 years ago
We need to decide how best to handle missing data.
I've created a spreadsheet which lists all variables currently available in GOSSIS: https://docs.google.com/spreadsheets/d/13PUD9adciV8mCZ25A6MxrUtd9WXd28-ZCyBfpk0DMDc/edit?usp=sharing
Next to each variable is a drop down list with possible options on how to impute data. We can collaboratively contribute/comment/discuss in the spreadsheet.
We use xgboost to predict each variable separately, given all other covariates. It seems to work well for most variables.
xgboost
We need to decide how best to handle missing data.
I've created a spreadsheet which lists all variables currently available in GOSSIS: https://docs.google.com/spreadsheets/d/13PUD9adciV8mCZ25A6MxrUtd9WXd28-ZCyBfpk0DMDc/edit?usp=sharing
Next to each variable is a drop down list with possible options on how to impute data. We can collaboratively contribute/comment/discuss in the spreadsheet.