Version 2.0.0 VS 1.7.6

#1

I trained XGBoostRegressor on two versions (2.0.0, 1.7.6) using the same data in python3.8.

# X, y = make_regression(n_samples=num_data, n_features=num_feature, noise=noise, bias=10)

xgbr = XGBRegressor(max_depth=5, n_estimators=129, random_state=0)
xgbr.fit(X, y)

However, the shape of the learned model is very different. Can you explain how the learning method changed with version 2.0.0?

#2

Take a look at https://github.com/dmlc/xgboost/issues/9624#issuecomment-1746182566

1 Like
#3

Thank you for your replying!