H2O.ai AutoML (wrapped with Python) with vtreat data preparation in KNIME for classification problems (with R vtreat) - a powerful auto-machine-learning framework (https://hub.knime.com/mlauber71/spaces/Public/latest/automl/)
For details please refer to these entries:
Workflow 
H2O.ai AutoML (wrapped with Python) with vtreat data preparation in KNIME for classification problems (with R vtreat)
External resources
- Overview of KNIME ML and AutoML frameworks
- paolotamag - more options for AutoML with KNIME components
- Cohen's Kappa: what it is, when to use it, how to avoid pitfalls
- Machine Learning Meta Collection (with KNIME)
- Meta Collection about KNIME and Python
- A meta collection and article about R and KNIME
- KNIME Interactive R Statistics Integration Installation Guide
- H2O.ai AutoML in KNIME for classification problems
- R Tip: Use the vtreat Package For Data Preparation
- Combine Big Data, Spark and H2O.ai Sparkling Water
- A Deep dive into H2O’s AutoML
- Profile mlauber71
- KNIME Python Integration Installation Guide
- KNIME, Python and Anaconda - the short story
- Downloading & Installing H2O
Used extensions & nodes
Created with KNIME Analytics Platform version 4.7.0
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KNIME AG, Zurich, Switzerland
Version 4.7.0
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KNIME AG, Zurich, Switzerland
Version 4.7.0
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KNIME AG, Zurich, Switzerland
Version 4.7.0
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KNIME AG, Zurich, Switzerland
Version 4.7.0
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KNIME AG, Zurich, Switzerland
Version 4.7.0
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KNIME AG, Zurich, Switzerland
Version 4.7.0
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KNIME AG, Zurich, Switzerland
Version 4.7.0
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KNIME AG, Zurich, Switzerland
Version 4.7.0
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KNIME AG, Zurich, Switzerland
Version 4.7.0
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KNIME AG, Zurich, Switzerland
Version 4.7.0
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KNIME AG, Zurich, Switzerland
Version 4.7.0
- Go to item
KNIME AG, Zurich, Switzerland
Version 4.7.0
- Go to item
KNIME AG, Zurich, Switzerland
Version 4.7.0
- Go to item
KNIME AG, Zurich, Switzerland
Version 4.7.0
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