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Heart Disease - Machine Learning Case - Comparing Algorithms

Binary Classification - use Python XGBoost package and other nodes to build model and deploy that thru KNIME Python nodes<br /><br />prepare data with vtreat package<br />in the subfolder /data/notebooks/ there is a Jupyter notebook to experiment and build XGBoost models ("kn_example_python_xgboost.ipynb")<br /><br />Also you can further explore the H2O.ai AutoML model with the notebook "h2o_inspect_model_automl_existing.ipynb"<br /><br />------------<br />Heart Failure Prediction Dataset (Kaggle)<br />11 clinical features for predicting heart disease events.<br /><br />https://www.kaggle.com/datasets/fedesoriano/heart-failure-prediction?resource=download

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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Created by: m_lauber
Created at: 2022-07-13
On NodePit since: 2024-02-16
Last update: 2024-12-17
Created with KNIME version: v5.3.0
Tags: xgboostpythonmodelknimejupytervtreatsvmh2o.aih2obinarygbm

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