There are 3962 nodes that can be used as predessesor
for a node with an input port of type Table.
Aggregates several columns into one single column.
Filters or replaces missing values in a table.
Defines a list of options and allows to select multiple values, which are returned in a table and as a comma-separated variable.
MultiLayer Perceptron Neural Net(WEKA).
Allows selecting multiple values from a list of String which is returned as a data table and String flow variable.
Class for generating a decision tree with naive Bayes classifiers at the leaves.
Nearest-neighbor-like algorithm using non-nested generalized exemplars.
Class for a Naive Bayes classifier using estimator classes.
Class for building and using a multinomial Naive Bayes classifier.
Uses the naive Bayes model from the naive Bayes learner to predict the class membership of each row in the input data.