I have a dataset where some features (c,d) apply to only when a feature (a) is a specific value.
a, b, c, d T, 60, 0x018, 3252002711 U, 167, , U, 67, , T, 66, 0x018, 15556
So I'm planning to splitting the dataset so that there are no missing values.
a, b, c, d T, 60, 0x018, 3252002711 T, 66, 0x018, 15556
a, b U, 167 U, 67
and then put these into individual models which combine to produce a prediction. Is there a way to do this? Because I've done some research on ensemble learning and it appears to only be for datasets with the same set of features.