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02_​AutoML_​Regression_​and_​Classification_​Examples

AutoML Regression and Classification Examples

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.



Solving a Regression Task with AutoML Solving a Classification Task with AutoML execute up-streambefore configurationTop : Train + Validation setsBottom : Test setPredictPredictTop : Train + Validation setsBottom : Test setexecute up-streambefore configuration AutoML (Regression) Partitioning Workflow Executor Select Example DatasetFor Regression Select Example DatasetFor Classification Numeric Scorer Workflow Executor Partitioning AutoML Scorer Workflow Writer Workflow Writer Solving a Regression Task with AutoML Solving a Classification Task with AutoML execute up-streambefore configurationTop : Train + Validation setsBottom : Test setPredictPredictTop : Train + Validation setsBottom : Test setexecute up-streambefore configuration AutoML (Regression) Partitioning Workflow Executor Select Example DatasetFor Regression Select Example DatasetFor Classification Numeric Scorer Workflow Executor Partitioning AutoML Scorer Workflow Writer Workflow Writer

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: 2025-01-01
Last update: 2025-01-15
Created with KNIME version: v4.5.0
Tags: autoMLautomated machine learningguided analyticsintegrated deploymentregressionnumeric predictionsclassificationOnboardingData Science

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