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  • xgboost parameter tuning using Bayes Optimization
  • xgboost parameter tuning (maximise ROC) using Bayes Optimization
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xgboost parameter tuning and handling large datasets

Xgboost Handling large datasets ROC Parameter optimization Cross-validation
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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.

External resources

  • Kaggle--Santander Customer Classification

Used extensions & nodes

Created with KNIME Analytics Platform version 4.0.2
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    KNIME Core Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.0.2

    knime
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    KNIME Optimization extension Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.0.0

    knime
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    KNIME XGBoost Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.0.1

    knime
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