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AutoML Regression and Classification Examples

<p>AutoML Regression and Classification Examples<br><br>This application is a simple example of AutoML with KNIME Software for regression and classification tasks. The key of this example is the “AutoML (Regression)” and “AutoML” components, verified and developed by the KNIME Team. The components (in green) use the extension KNIME Integrated Deployment in order to train several models and combine them with other nodes and output a deployment workflow.</p><p></p><p>--------</p><p>Adapted from:</p><p>https://hub.knime.com/s/ifIPg5Pr0hCk62GS</p>

URL: KNIME Integrated Deployment - KNIME.com https://www.knime.com/integrated-deployment
URL: Guided Automation: a more complex AutoML example with KNIME Software https://kni.me/w/eAGfGtEAIr-1iYR-
URL: KNIME Verified Components - KNIME.com https://www.knime.com/verified-components
URL: Ames Iowa Housing Data https://www.kaggle.com/marcopale/housing
URL: Bike Sharing Dataset https://archive.ics.uci.edu/ml/datasets/Bike+Sharing+Dataset
URL: Auto MPG Data Set https://archive.ics.uci.edu/ml/datasets/auto+mpg
URL: Diabetes Data http://statweb.lsu.edu/faculty/li/teach/exst7142/diabetes.html
URL: Titanic Data https://www.kaggle.com/c/titanic
URL: Iris Data https://archive.ics.uci.edu/ml/datasets/iris
URL: Wine Data https://archive.ics.uci.edu/ml/datasets/wine
URL: Census Income Data https://archive.ics.uci.edu/ml/datasets/adult

Nodes

Extensions

Links

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: paolotamag
Created at: 2020-06-24
On NodePit since: 2024-10-19
Last update: 2024-12-21
Created with KNIME version: v5.3.2
Tags: autoMLautomated machine learningguided analyticsintegrated deploymentregressionnumeric predictionsclassificationOnboardingData Science

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