How does your treatment of sparse data differ from full data?

[vinkaga]

Thanks for this example, I just submitted - I am ranked 78 atm :-)

In your code, the sparse data is treated differently from dense/full data. How is that handled? Are you estimating the missing data before fit or the fit is simply ignoring the missing data?

[kaz-Anova]

Missing values are never ignored. However algorithms threat them differently.

In native StackNet algorithm ( not xgboost, lightgbm etc) missing values are handled as zeros.

xgboost, lightgbm and other algos may treat these differently .