Naive Bayes Learner

The node creates a Bayesian model from the given training data. It calculates the number of rows per attribute value per class for nominal attributes and the Gaussian distribution for numerical attributes. The created model could be used in the naive Bayes predictor to predict the class membership of unclassified data.

Options

Classification Column

The class value column.

Skip missing values (incl. class column)

The node ignores missing values in the model if this option is ticked. If it's not ticked the node treats the missing values as a normal value and considers them during the class probability calculation.

Maximum number of unique nominal values per attribute

All nominal columns with more unique values than the defined number will be skipped during learning. If the column contains missing values and the 'Skip missing values' option is not skipped the missing value counts as one value!

Views

Naive Bayes Learner View

The view displays the learned model with the number of rows per class attribute. The number of rows per attribute per class for nominal attributes and the Gaussian distribution per class for numerical attributes.

Workflows

• 01_Feature_Elimination_Done_ManuallyKNIME Hub

Links

• No links available

Developers