This is how random forests work. Each takes a different subset of features and builds a model. Then models are averaged for much better accuracy. Unfortunately,

This is how random forests work. Each takes a different subset of features and builds a model. Then models are averaged for much better accuracy. Unfortunately, averaging seems to be the crudest mechanism for combining models and far from the best. There are more sophisticated approaches like boosting and synergy (of monotonic rules).