Skip to main content

tDecisionTreeModel

Analyzes feature vectors usually prepared and provided by tModelEncoder to generate a classifier model that is used by tPredict to classify given elements.

tDecisionTreeModel analyzes incoming datasets using the Decision Tree algorithm.

It generates a classification model out of this analysis and writes this model either in memory or in a given file system.

Did this page help you?

If you find any issues with this page or its content – a typo, a missing step, or a technical error – please let us know!