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Different Datasets in One Machine learning Model

I have two different datasets with different number of features. I want to classify stress level and factor by using random forest model. My target variables are ” low, Medium, High”. Stress Factors are 5 factors in one dataset and 4 factors in the other dataset. When I get final results on each dataset, what can I do with these different results on each dataset in one model and what information can be shown?