xgboost parameter tuning and handling large datasets

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.

External resources

• Kaggle--Santander Customer Classification