I need help...


Do you know how to build a Knime workflow that applies the following classifiers to ClevelandHeartData:

Logistic regression
Decision tree
Random forest
Tree ensemble learner
Naive Bayes
K Nearest Neighbor for several K values

You can use this site to look for examples

Use the link and navigate to the Workflows section on the page.
Do search for other algorithms.

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You can use AutoML to run multiple classifiers (or regressors) at once.

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Can you tell me how can I add classifiers to this component?

Can you tell me how I can add AutoML component to KNIME? I can’t find this component in standard version of Knime.

Here’s an example workflow:

There’s also an H20 Machine Learning Extension which provides AutoML nodes but they require H20 data frames.