xgboost parameter tuning and handling large datasets

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This example demonstrates following: 1. Handling Large datasets in KNIME--Setting Memory Policy 2. Feature Engineering 3. ROC curves 4. XGBoost Tree Ensemble Learner for classification 4. xgboost Parameter tuning using Bayesian Optimization Data is from Kaggle--Santander Customer Transaction Prediction.


This is a companion discussion topic for the original entry at https://kni.me/w/Awriqlgr_oz7Vrtf
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