Random Forest Improve Accuracy

I'm using RandomForestClassifier method for object detection the problem is that even i know that my random state should be zero as default i got very bad accuracy, so is there anyway to know what is the best values for my n_estimators, random_state parameters ?

from sklearn.ensemble import RandomForestClassifier
RF_model = RandomForestClassifier(n_estimators = 250, random_state = 120)