How to use classifier random forest in Python for 2 different data sets?
You could try to put NUM as a single column, and the first and second datasets would use completely independent columns, with the non-matching cells containing empty data. Whether the results will be any good, will depend much on your data.
I have 2 data sets with different variables.  But both includes a variable, say NUM, that helps to identify the occurrence of an event. With the NUM, I was able to identify the event, by labelling it. How can one run RF to effectively include considerations of the 2 datasets? I am not able to append them (column wise) as the number of records for each NUM differs.