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KNIME Data Science Learnathon - Group 2B - (Optional) External ML Library, AutoML and XAI (Solution)

The data science learnathon is a workshop where participants divide in 3 groups: prepare data, train and test the model, deploy the model.

Solution to the optional tasks for Group 2 in KNIME Data Science Learnathon

- Apply a cross validation loop to a classification model
- Train a classification model with an external tool (H2O)
- Perform AutoML and XAI with verified components

URL: H2O Machine Learning - KNIME Blog https://www.knime.com/blog/solving-a-kaggle-challenge-using-the-combined-power-of-knime-analytics-platform-h2o
URL: Models via External Integration - KNIME Blog https://www.knime.com/blog/will-they-blend-experiments-in-data-tool-blending-today-a-cross-platform-ensemble-model-r
URL: Automated Machine Learning - KNIME Blog https://www.knime.com/blog/integrated-deployment-blog-series-episode-3-automated-machine-learning
URL: eXplainable AI (XAI) - KNIME Blog https://www.knime.com/blog/download-explainable-xai-solutions-hub
URL: eXplainable AI (XAI) - KNIME Press https://www.knime.com/knimepress/explainable-ai
URL: KNIME Learning Center - KNIME.com https://www.knime.com/learning

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Created by: Maarit Laukkanen
Created at: 2018-09-11
On NodePit since: 2024-02-29
Last update: 2024-04-27
Created with KNIME version: v5.2.1
Tags: Predictive AnalyticsMachine LearningCross ValidationScoringBag of ModelsModels via external integrationH2Ointerval loopgradient boostingLearnathonData Science Learnathon

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