H2O.ai AutoML (wrapped with Python) with vtreat data preparation in KNIME for classification problems (with R vtreat)

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:
https://forum.knime.com/t/h2o-ai-automl-in-knime-for-classification-problems/20923

This is a modified version that also offers R package vtreat to prepare data and store the preparation and also uses a split of training and test (70/30) while splitting the remaining 70% again (80/20) to get more stable results

External resources

• Downloading & Installing H2O
• KNIME, Python and Anaconda - the short story
• KNIME Python Integration Installation Guide
• Profile mlauber71
• A Deep dive into H2O’s AutoML
• Combine Big Data, Spark and H2O.ai Sparkling Water
• R Tip: Use the vtreat Package For Data Preparation
• H2O.ai AutoML in KNIME for classification problems
• KNIME Interactive R Statistics Integration Installation Guide
• A meta collection and article about R and KNIME
• Meta Collection about KNIME and Python
• Machine Learning Meta Collection (with KNIME)
• Cohen's Kappa: what it is, when to use it, how to avoid pitfalls
• paolotamag - more options for AutoML with KNIME components
• Overview of KNIME ML and AutoML frameworks