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.
Workflow
xgboost parameter tuning and handling large datasets
External resources
Used extensions & nodes
Created with KNIME Analytics Platform version 4.0.2
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