Heart Disease - Machine Learning Case - Comparing Algorithms

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URL: How to Develop Your First XGBoost Model in Python https://machinelearningmastery.com/develop-first-xgboost-model-python-scikit-learn/
URL: A Beginner’s guide to XGBoost https://towardsdatascience.com/a-beginners-guide-to-xgboost-87f5d4c30ed7
URL: XGBoost Parameters https://xgboost.readthedocs.io/en/stable/parameter.html
URL: forum entry (45057) https://forum.knime.com/t/saving-xgboost-model-to-pmml-possible-now/45057/4?u=mlauber71
URL: Meta Collection about KNIME and Python https://kni.me/w/AvjrddXKOIoZYLV3
URL: Medium: Data preparation for Machine Learning with KNIME and the Python “vtreat” package https://medium.com/p/efcaf58fa783
URL: H2O.ai AutoML (wrapped with Python) in KNIME for classification problems https://forum.knime.com/t/h2o-ai-automl-in-knime-for-classification-problems/20923?u=mlauber71
URL: HUB: Binary Classification - Heart Disease - Machine Learning Case - Comparing Algorithms https://hub.knime.com/-/spaces/-/~0dXvsD0vMrv_w6Fw/current-state/
URL: forum entry (77228) https://forum.knime.com/t/how-do-know-if-your-dataset-is-good-before-using-ml-algorithms/77228/7?u=mlauber71
URL: Medium Blog: KNIME — Machine Learning and Artificial Intelligence— A Collection https://medium.com/p/12e0f7d83b50
URL: Medium Blog: About Machine-Learning — How it Fails and Succeeds https://medium.com/p/9f3ab7cb9b00
URL: Medium Blog: KNIME, XGBoost and Optuna for Hyper Parameter Optimization https://medium.com/p/dcf0efdc8ddf

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• Column Filter39 ×
• Table to H2O23 ×
• Constant Value Column17 ×
• H2O Binomial Scorer17 ×
• Model Reader9 ×
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• FeatureKNIME Base nodes
• FeatureKNIME Column Expressions (Labs)
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