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szilard / benchm-ml

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
MIT License
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RandomForest Example #47

Closed Mega4alik closed 7 years ago

Mega4alik commented 7 years ago

Hello, I'm trying to train RandomForest Model, but getting same result for each test(about 300 entries) Here's Java Code

RandomForest model;
model = new RandomForest(X,Y,500);

For this data, python sklearn works as expected

clf = RandomForestClassifier(n_estimators=500)
clf = clf.fit(X, Y)

What am I missing?

Thanks