from sklearn.ensemble import RandomForestClassifier
rfm = RandomForestClassifier(n_estimators=70,oob_score=True,n_jobs=1,\
                  random_state=101,max_features=None,min_samples_leaf=3)
rfm.fit(XA,yA)
yP = rfm.predict(XB)
assess(yP)