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