I used both sklearn’s random forests and tfdf on the same dataset. The results was very different between the two. Below was my configurations for the sklearn one.
RandomForestClassifier(n_estimators=1000, max_depth=16, oob_score=True, min_samples_leaf=1, random_state=42, n_jobs=-1)
I tried to use the same configurations with tfdf’s, but no luck. Please correct me on the configurations if I am wrong.