Predicts the class per row based on the learned model. The class
probability is the product of the probability per attribute and the
probability of the class attribute itself.

The probability for nominal values is the number of occurrences of the class value with the given value divided by the number of total occurrences of the class value. The probability of numerical values is calculated by assuming a normal distribution per attribute.

- Laplace corrector
- Initial count for nominal attributes to overcome zero counts. Set to zero for no correction.
- Change prediction column name
- When set, you can change the name of the prediction column.
- Prediction Column
- The possibly overridden column name for the predicted column. (The
default is:
`Prediction (`

trainingColumn`)`

.) - Append probability value column per class instance
- If selected a column is appended for each class instance with the normalized probability of this row being member of this class.
- Suffix for probability columns
- Suffix for the normalized distribution columns. Their names are like:
`P (`

trainingColumn`=`

value`)`

.

- This node has no views

- No workflows found

- No links available

You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.

To use this node in KNIME, install the extension KNIME Base nodes from the below update site following our NodePit Product and Node Installation Guide:

v4.7

A zipped version of the software site can be downloaded here.

Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to mail@nodepit.com, follow @NodePit on Twitter, or chat on Gitter!

**Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.**