@malik I do not think the H2O XGBoost integration is yet on knime since it was only available on Mac/Intel and Linux at least until recently [image] how do know if your dataset is good before using ML algorithms? KNIME Analytics Platform @rfeigel … or just use XGBoost and be done blush on Mac and Linux Python H2O AutoML will include that in the models tested. One can also try and combine that with some hyper parameter optimization: In a lot of cases it will not be a question of 0.84 vs 0.85 which might shift some anyway but to think about what to do and where to make the cut for a prescribed action and also integrate some cost estimations. But you could use it with the python integration and knime. [image] H2O.ai AutoML (wrapped with Python) in KNIME for classification problems –... H2O.ai AutoML (wrapped with Python) in KNIME for classification problems - a powerful auto-machine-learning framework (https://hub.knime.com/mlauber71/spaces/P… [image] Heart Disease - Machine Learning Case - Comparing Algorithms – mlauber71 Binary Classification - use Python XGBoost package and other nodes to build model and deploy that thru KNIME Python nodes prepare data with vtreat package in t…

H2O xgboost